subject:(hidden semi Markov model)

University of Alberta

1. Hladky, Stephen Michael. Predicting opponent locations in first-person shooter video games.

Degree: MS, Department of Computing Science, 2009, University of Alberta

URL: https://era.library.ualberta.ca/files/5x21tg037

► Commercial video game developers constantly strive to create intelligent humanoid characters that are controlled by computers. To ensure computer opponents are challenging to human players,… (more)

Subjects/Keywords: opponent modelling; particle filter; hidden semi-Markov model; believability; video games

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hladky, S. M. (2009). Predicting opponent locations in first-person shooter video games. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/5x21tg037

Chicago Manual of Style (16^th Edition):

Hladky, Stephen Michael. “Predicting opponent locations in first-person shooter video games.” 2009. Masters Thesis, University of Alberta. Accessed December 11, 2019. https://era.library.ualberta.ca/files/5x21tg037.

MLA Handbook (7^th Edition):

Hladky, Stephen Michael. “Predicting opponent locations in first-person shooter video games.” 2009. Web. 11 Dec 2019.

Vancouver:

Hladky SM. Predicting opponent locations in first-person shooter video games. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2019 Dec 11]. Available from: https://era.library.ualberta.ca/files/5x21tg037.

Council of Science Editors:

Hladky SM. Predicting opponent locations in first-person shooter video games. [Masters Thesis]. University of Alberta; 2009. Available from: https://era.library.ualberta.ca/files/5x21tg037

NSYSU

2. Guo, Jia-Liang. Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models.

Degree: Master, Information Management, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614117-091652

► To predict or to explain? With the dramatical growth of the volume of information generated from various information systems, data science has become popular and… (more)

Subjects/Keywords: Process discovery; Classification Tree Hidden Semi-Markov Model; HSMM; Rule-Integrated trees; Random forest

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Guo, J. (2017). Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614117-091652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Guo, Jia-Liang. “Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models.” 2017. Thesis, NSYSU. Accessed December 11, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614117-091652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Guo, Jia-Liang. “Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models.” 2017. Web. 11 Dec 2019.

Vancouver:

Guo J. Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614117-091652.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guo J. Process Discovery using Rule-Integrated Trees Hidden Semi-Markov Models. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614117-091652

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

3. Wang, Xiduo. A State Dependent Lane-Changing Model for Urban Arterials with Hidden Markov Model Method.

Degree: 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/156266

► The inherent intention and decision process of lane changes are complex and unobservable. Though the external environment and traffic conditions are changing along the traveling… (more)

Subjects/Keywords: Lane Changing; Hidden Markov Model

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, X. (2015). A State Dependent Lane-Changing Model for Urban Arterials with Hidden Markov Model Method. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156266

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Xiduo. “A State Dependent Lane-Changing Model for Urban Arterials with Hidden Markov Model Method.” 2015. Thesis, Texas A&M University. Accessed December 11, 2019. http://hdl.handle.net/1969.1/156266.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Xiduo. “A State Dependent Lane-Changing Model for Urban Arterials with Hidden Markov Model Method.” 2015. Web. 11 Dec 2019.

Vancouver:

Wang X. A State Dependent Lane-Changing Model for Urban Arterials with Hidden Markov Model Method. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1969.1/156266.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang X. A State Dependent Lane-Changing Model for Urban Arterials with Hidden Markov Model Method. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156266

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rice University

4. Ackermann, Etienne Rudolph. Latent variable models for hippocampal sequence analysis.

Degree: PhD, Neuroengineering, 2019, Rice University

URL: http://hdl.handle.net/1911/106149

► Place cell activity of hippocampal pyramidal cells has been described as the cognitive substrate of spatial memory. Indeed, the activity of ensembles of neurons within… (more)

▼ Place cell activity of hippocampal pyramidal cells has been described as the cognitive substrate of spatial memory. Indeed, the activity of ensembles of neurons within the hippocampus is thought to enable memory formation, storage, recall, and even decision making. Replay is observed during hippocampal sharp-wave-ripple-associated population burst events (PBEs) and is critical for consolidation and recall-guided behaviors. Notably, these PBEs occur during times of inactivity, so that their representations cannot easily be matched with observable animal behavior. In my thesis, I present an approach to uncover temporal structure within hippocampal output patterns during PBEs. More specifically, I use hidden Markov models (HMMs) to study PBEs observed in rats during exploration of both linear tracks and open fields, and I demonstrate that estimated models are consistent with a spatial map of the environment. Moreover, I demonstrate how the model can be used to identify hippocampal replay without recourse to the place code. These results suggest that downstream regions may rely on PBEs to provide a substrate for memory. Moreover, by forming models independent of animal behavior, I lay the groundwork for studies of non-spatial memory. Next, I present a new model, the "clusterless" switching Poisson hidden Markov model, which extends my work on HMMs of PBEs to the case where we only have multiunit (unsorted) spikes. Indeed, spike sorting is challenging, time-consuming, often subjective (not reproducible), and throws away potentially valuable information from unsorted spikes, as well as our certainty about the cluster assignments. It has previously been shown that we can often do just as well, or in some cases even better, if we forego the spike sorting process altogether, and work directly with the unsorted data. Consequently, my clusterless HMM will enable us to combine the benefits of unsupervised learning for internally generated neural activity, with the benefits of clusterless approaches (more data leading to higher fidelity, especially at fine temporal scales, and additional probabilistic / soft information to exploit). I demonstrate the model's ability to recover model parameters for simulated data, and show that it is able to learn a spatially-consistent representation of the environment from real experimental data. Advisors/Committee Members: Kemere, Caleb (advisor).

Subjects/Keywords: hippocampal replay; hidden Markov model

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ackermann, E. R. (2019). Latent variable models for hippocampal sequence analysis. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/106149

Chicago Manual of Style (16^th Edition):

Ackermann, Etienne Rudolph. “Latent variable models for hippocampal sequence analysis.” 2019. Doctoral Dissertation, Rice University. Accessed December 11, 2019. http://hdl.handle.net/1911/106149.

MLA Handbook (7^th Edition):

Ackermann, Etienne Rudolph. “Latent variable models for hippocampal sequence analysis.” 2019. Web. 11 Dec 2019.

Vancouver:

Ackermann ER. Latent variable models for hippocampal sequence analysis. [Internet] [Doctoral dissertation]. Rice University; 2019. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1911/106149.

Council of Science Editors:

Ackermann ER. Latent variable models for hippocampal sequence analysis. [Doctoral Dissertation]. Rice University; 2019. Available from: http://hdl.handle.net/1911/106149

Rice University

5. Ackermann, Etienne Rudolph. Latent variable models for hippocampal sequence analysis.

Degree: PhD, Engineering, 2019, Rice University

URL: http://hdl.handle.net/1911/106148

► Place cell activity of hippocampal pyramidal cells has been described as the cognitive substrate of spatial memory. Indeed, the activity of ensembles of neurons within… (more)

▼ Place cell activity of hippocampal pyramidal cells has been described as the cognitive substrate of spatial memory. Indeed, the activity of ensembles of neurons within the hippocampus is thought to enable memory formation, storage, recall, and even decision making. Replay is observed during hippocampal sharp-wave-ripple-associated population burst events (PBEs) and is critical for consolidation and recall-guided behaviors. Notably, these PBEs occur during times of inactivity, so that their representations cannot easily be matched with observable animal behavior. In my thesis, I present an approach to uncover temporal structure within hippocampal output patterns during PBEs. More specifically, I use hidden Markov models (HMMs) to study PBEs observed in rats during exploration of both linear tracks and open fields, and I demonstrate that estimated models are consistent with a spatial map of the environment. Moreover, I demonstrate how the model can be used to identify hippocampal replay without recourse to the place code. These results suggest that downstream regions may rely on PBEs to provide a substrate for memory. Moreover, by forming models independent of animal behavior, I lay the groundwork for studies of non-spatial memory. Next, I present a new model, the "clusterless" switching Poisson hidden Markov model, which extends my work on HMMs of PBEs to the case where we only have multiunit (unsorted) spikes. Indeed, spike sorting is challenging, time-consuming, often subjective (not reproducible), and throws away potentially valuable information from unsorted spikes, as well as our certainty about the cluster assignments. It has previously been shown that we can often do just as well, or in some cases even better, if we forego the spike sorting process altogether, and work directly with the unsorted data. Consequently, my clusterless HMM will enable us to combine the benefits of unsupervised learning for internally generated neural activity, with the benefits of clusterless approaches (more data leading to higher fidelity, especially at fine temporal scales, and additional probabilistic / soft information to exploit). I demonstrate the model's ability to recover model parameters for simulated data, and show that it is able to learn a spatially-consistent representation of the environment from real experimental data. Advisors/Committee Members: Kemere, Caleb (advisor).

Subjects/Keywords: hippocampal replay; hidden Markov model

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ackermann, E. R. (2019). Latent variable models for hippocampal sequence analysis. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/106148

Chicago Manual of Style (16^th Edition):

Ackermann, Etienne Rudolph. “Latent variable models for hippocampal sequence analysis.” 2019. Doctoral Dissertation, Rice University. Accessed December 11, 2019. http://hdl.handle.net/1911/106148.

MLA Handbook (7^th Edition):

Ackermann, Etienne Rudolph. “Latent variable models for hippocampal sequence analysis.” 2019. Web. 11 Dec 2019.

Vancouver:

Ackermann ER. Latent variable models for hippocampal sequence analysis. [Internet] [Doctoral dissertation]. Rice University; 2019. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1911/106148.

Council of Science Editors:

Ackermann ER. Latent variable models for hippocampal sequence analysis. [Doctoral Dissertation]. Rice University; 2019. Available from: http://hdl.handle.net/1911/106148

6. Keiichiro, Oura. Acoustic Modeling for HMM-Based Speech Recognition and Synthesis : HMMに基づく音声認識・合成のための音響モデリング.

Degree: 博士(工学), 2016, Nagoya Institute of Technology / 名古屋工業大学

URL: http://id.nii.ac.jp/1476/00002922/

主査：徳田　恵一

Subjects/Keywords: Speech recognition; speech synthesis; hidden Markov model; hidden semi-Markov model; acoustic modeling

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Keiichiro, O. (2016). Acoustic Modeling for HMM-Based Speech Recognition and Synthesis : HMMに基づく音声認識・合成のための音響モデリング. (Thesis). Nagoya Institute of Technology / 名古屋工業大学. Retrieved from http://id.nii.ac.jp/1476/00002922/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Keiichiro, Oura. “Acoustic Modeling for HMM-Based Speech Recognition and Synthesis : HMMに基づく音声認識・合成のための音響モデリング.” 2016. Thesis, Nagoya Institute of Technology / 名古屋工業大学. Accessed December 11, 2019. http://id.nii.ac.jp/1476/00002922/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Keiichiro, Oura. “Acoustic Modeling for HMM-Based Speech Recognition and Synthesis : HMMに基づく音声認識・合成のための音響モデリング.” 2016. Web. 11 Dec 2019.

Vancouver:

Keiichiro O. Acoustic Modeling for HMM-Based Speech Recognition and Synthesis : HMMに基づく音声認識・合成のための音響モデリング. [Internet] [Thesis]. Nagoya Institute of Technology / 名古屋工業大学; 2016. [cited 2019 Dec 11]. Available from: http://id.nii.ac.jp/1476/00002922/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Keiichiro O. Acoustic Modeling for HMM-Based Speech Recognition and Synthesis : HMMに基づく音声認識・合成のための音響モデリング. [Thesis]. Nagoya Institute of Technology / 名古屋工業大学; 2016. Available from: http://id.nii.ac.jp/1476/00002922/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Pertsinidou, Christina Elisavet. Stochastic models for the estimation of the seismic hazard : Modèles stochastiques pour l'estimation du risque sismique.

Degree: Docteur es, Applied Mathematics - Statistics : Laboratoire de Mathématiques Appliquées de Compiègne (Unité de recherche EA-2222), 2017, Compiègne; Université Aristote (Thessalonique, Grèce)

URL: http://www.theses.fr/2017COMP2342

► Dans le premier chapitre, la notion d'évaluation des risques sismiques est définie et les caractéristiques sismotectoniques de la région d'étude sont brièvement présentés. Un examen… (more)

▼ Dans le premier chapitre, la notion d'évaluation des risques sismiques est définie et les caractéristiques sismotectoniques de la région d'étude sont brièvement présentés. Un examen rigoureux des modèles stochastiques, appliqués au domaine de la sismologie est fourni. Dans le chapitre 2, différents modèles semi-Markoviens sont développés pour étudier la sismicité des îles Ioniennes centrales ainsi que le Nord de la mer Egée (Grèce). Les quantités telles que le noyau semi-Markovien et les probabilités de destination sont évaluées, en considérant que les temps de séjour suivent les distributions géométrique, discrète Weibull et Pareto. Des résultats utiles sont obtenus pour l'estimation de la sismicité. Dans le troisième chapitre un nouvel algorithme de Viterbi pour les modèles semi-Markoviens cachés est construit, dont la complexité est une fonction linéaire du nombre d'observations et une fonction quadratique du nombre d'états cachés, la plus basse existante dans la littérature. Une extension de ce nouvel algorithme est développée pour le cas où une observation dépend de l'état caché correspondant, mais aussi de l'observation précédente (cas SM1-M1). Dans le chapitre 4 les modèles semi-Markoviens cachés sont appliquées pour étudier la sismicité du Nord et du Sud de la mer Égée. La séquence d'observation est constituée des magnitudes et des positions d’un tremblement de terre et le nouvel algorithme de Viterbi est mis en œuvre afin de décoder les niveaux des tensions cachés qui sont responsables pour la sismogenèse. Les phases précurseurs (variations des tensions cachées) ont été détectées en avertissant qu’un tremblement de terre pourrait se produire. Ce résultat est vérifié pour 70 sur 88 cas (le score optimal). Les temps de séjour du processus caché étaient supposés suivre les distributions Poisson, logarithmique ou binomiale négative, tandis que les niveaux de tensions cachés ont été classés en 2, 3 ou 4 états. Les modèles de Markov caché ont également été adaptés sans présenter des résultats intéressants concernant les phases précurseurs. Dans le chapitre 5 un algorithme de Viterbi généralisé pour les modèles semi-Markoviens cachés, est construit dans le sens que les transitions au même état caché sont autorisées et peuvent également être décodées. De plus, une extension de cet algorithme généralisé dans le contexte SM1-M1 est présentée. Dans le chapitre 6 nous modifions de manière convenable le modèle Cramér-Lundberg y compris des sinistres négatifs et positifs, afin de décrire l'évolution avec le temps des changements de contraintes de Coulomb (valeurs ΔCFF) calculées pour sept épicentres (M ≥ 6) du Nord de la mer Egée. Formules pour les probabilités de ruine sont définies sous une forme générale. Corollaires sont également formulés pour la distribution exponentielle et Pareto. L'objectif est de mettre en lumière la question suivante qui pose la problématique dans la Sismologie: Au cours d'une année pourquoi un tremblement de terre s’est produit dans une position précise et pas dans une autre position, aux… Advisors/Committee Members: Limnios, Nikolaos (thesis director), Tsaklidis, Georgios (thesis director).

Subjects/Keywords: Modèles semi-Markoviens; Modèles semi-Markoviens cachés; Algorithme de Viterbi; Modèle Cramér-Lundberg; Semi-Markov models; Hidden Markov models; Hidden semi-Markov models; Viterbi algorithm; Cramér-Lundberg model; Coulomb failure function changes; Destination probabilities; Stress level

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pertsinidou, C. E. (2017). Stochastic models for the estimation of the seismic hazard : Modèles stochastiques pour l'estimation du risque sismique. (Doctoral Dissertation). Compiègne; Université Aristote (Thessalonique, Grèce). Retrieved from http://www.theses.fr/2017COMP2342

Chicago Manual of Style (16^th Edition):

Pertsinidou, Christina Elisavet. “Stochastic models for the estimation of the seismic hazard : Modèles stochastiques pour l'estimation du risque sismique.” 2017. Doctoral Dissertation, Compiègne; Université Aristote (Thessalonique, Grèce). Accessed December 11, 2019. http://www.theses.fr/2017COMP2342.

MLA Handbook (7^th Edition):

Pertsinidou, Christina Elisavet. “Stochastic models for the estimation of the seismic hazard : Modèles stochastiques pour l'estimation du risque sismique.” 2017. Web. 11 Dec 2019.

Vancouver:

Pertsinidou CE. Stochastic models for the estimation of the seismic hazard : Modèles stochastiques pour l'estimation du risque sismique. [Internet] [Doctoral dissertation]. Compiègne; Université Aristote (Thessalonique, Grèce); 2017. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2017COMP2342.

Council of Science Editors:

Pertsinidou CE. Stochastic models for the estimation of the seismic hazard : Modèles stochastiques pour l'estimation du risque sismique. [Doctoral Dissertation]. Compiègne; Université Aristote (Thessalonique, Grèce); 2017. Available from: http://www.theses.fr/2017COMP2342

8. Olivier, Brice. Analyse conjointe de traces oculométriques et d'EEG à l'aide de modèles de Markov cachés couplés : Joint analysis of eye movements and EEGs using coupled hidden Markov.

Degree: Docteur es, Mathématiques appliquées, 2019, Grenoble Alpes

URL: http://www.theses.fr/2019GREAM030

►

Cette thèse consiste à analyser conjointement des signaux de mouvement des yeux et d’électroencéphalogrammes (EEG) multicanaux acquis simultanément avec des participants effectuant une tâche de… (more)

▼

Cette thèse consiste à analyser conjointement des signaux de mouvement des yeux et d’électroencéphalogrammes (EEG) multicanaux acquis simultanément avec des participants effectuant une tâche de lecture de recueil d'informations afin de prendre une décision binaire - le texte est-il lié à un sujet ou non? La recherche d'informations textuelles n'est pas un processus homogène dans le temps - ni d'un point de vue cognitif, ni en termes de mouvement des yeux. Au contraire, ce processus implique plusieurs étapes ou phases, telles que la lecture normale, le balayage, la lecture attentive - en termes d'oculométrie - et la création et le rejet d'hypothèses, la confirmation et la décision - en termes cognitifs.Dans une première contribution, nous discutons d'une méthode d'analyse basée sur des chaînes semi-markoviennes cachées sur les signaux de mouvement des yeux afin de mettre en évidence quatre phases interprétables en termes de stratégie d'acquisition d'informations: lecture normale, lecture rapide, lecture attentive et prise de décision.Dans une deuxième contribution, nous lions ces phases aux changements caractéristiques des signaux EEG et des informations textuelles. En utilisant une représentation en ondelettes des EEG, cette analyse révèle des changements de variance et de corrélation des coefficients inter-canaux, en fonction des phases et de la largeur de bande. En utilisant des méthodes de plongement des mots, nous relions l’évolution de la similarité sémantique au sujet tout au long du texte avec les changements de stratégie.Dans une troisième contribution, nous présentons un nouveau modèle dans lequel les EEG sont directement intégrés en tant que variables de sortie afin de réduire l’incertitude des états. Cette nouvelle approche prend également en compte les aspects asynchrones et hétérogènes des données.

This PhD thesis consists in jointly analyzing eye-tracking signals and multi-channel electroencephalograms (EEGs) acquired concomitantly on participants doing an information collection reading task in order to take a binary decision - is the text related to some topic or not ? Textual information search is not a homogeneous process in time - neither on a cognitive point of view, nor in terms of eye-movement. On the contrary, this process involves several steps or phases, such as normal reading, scanning, careful reading - in terms of oculometry - and creation and rejection of hypotheses, confirmation and decision - in cognitive terms.In a first contribution, we discuss an analysis method based on hidden semi-Markov chains on the eye-tracking signals in order to highlight four interpretable phases in terms of information acquisition strategy: normal reading, fast reading, careful reading, and decision making.In a second contribution, we link these phases with characteristic changes of both EEGs signals and textual information. By using a wavelet representation of EEGs, this analysis reveals variance and correlation changes of the inter-channels coefficients, according to the phases and the bandwidth. And by…

Advisors/Committee Members: Durand, Jean-Baptiste (thesis director), Guérin-Dugué, Anne (thesis director).

Subjects/Keywords: Traitement du signal pour le cerveau et la vision; Modèle de Markov caché; Modèles de semi-Markov cachés couplés; Vision and Brain Signal Processing; Hidden Markov Model; Coupled Hidden semi-Markov Model; 510

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Olivier, B. (2019). Analyse conjointe de traces oculométriques et d'EEG à l'aide de modèles de Markov cachés couplés : Joint analysis of eye movements and EEGs using coupled hidden Markov. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2019GREAM030

Chicago Manual of Style (16^th Edition):

Olivier, Brice. “Analyse conjointe de traces oculométriques et d'EEG à l'aide de modèles de Markov cachés couplés : Joint analysis of eye movements and EEGs using coupled hidden Markov.” 2019. Doctoral Dissertation, Grenoble Alpes. Accessed December 11, 2019. http://www.theses.fr/2019GREAM030.

MLA Handbook (7^th Edition):

Olivier, Brice. “Analyse conjointe de traces oculométriques et d'EEG à l'aide de modèles de Markov cachés couplés : Joint analysis of eye movements and EEGs using coupled hidden Markov.” 2019. Web. 11 Dec 2019.

Vancouver:

Olivier B. Analyse conjointe de traces oculométriques et d'EEG à l'aide de modèles de Markov cachés couplés : Joint analysis of eye movements and EEGs using coupled hidden Markov. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2019. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2019GREAM030.

Council of Science Editors:

Olivier B. Analyse conjointe de traces oculométriques et d'EEG à l'aide de modèles de Markov cachés couplés : Joint analysis of eye movements and EEGs using coupled hidden Markov. [Doctoral Dissertation]. Grenoble Alpes; 2019. Available from: http://www.theses.fr/2019GREAM030

University of Houston

9. Preston, Benjamin 1981-. A Hidden Markov Renewal Model.

Degree: Mathematics, Department of, University of Houston

URL: http://hdl.handle.net/10657/2837

► Hidden semi-Markov models (HSMMs) are a powerful class of statistical model that have been applied to a wide range of areas such as speech recognition,… (more)

▼ Hidden semi-Markov models (HSMMs) are a powerful class of statistical model that have been applied to a wide range of areas such as speech recognition, protein structure prediction, Internet-traffic modeling, financial time-series modeling, and classification of music. Three basic problems of hidden Markov model inference are: Computation of the likelihood, computation of the maximum likelihood-estimate of the model parameters, and computation of the maximum a posteriori estimate of the hidden state sequence. We address these inference problems for a set of models closely related to HSMMs. Our contributions are: (i) We extend the HSMM to allow observations to depend not only on the current underlying hidden state, but on the next underlying hidden state also. This extension can be used to model behavior whereby the observed data gradually transitions between states, rather than abruptly. (ii) We formulate the hidden portion of the model as a Markov renewal process. This allows us to naturally perform inference on models with hidden events other than state changes, e.g., jumps. (iii) We show that by augmenting the state space of our hidden Markov renewal model (HMRM), we can perform inference on an even larger class of phenomena, including models with stochastic volatility. Hence our HMRM can address three key areas of modern financial time series: regime-switching, jumps, and stochastic volatility. We develop algorithms to solve the three basic problems of inference for the HMRM. We validate the algorithms by performing inference on simulated data. We apply our model to two real-world datasets appearing in previously published analyses. The first dataset contains the log-returns of four European sector indices. Specifications of the HMRM improve the modeling of the auto-correlation function of squared returns compared to the HSMMs used in this first analysis. The second dataset consists of weekly returns from a weighted portfolio of NYSE stocks. Another specification of the HMRM gives improved volatility forecasts compared to the regime-switching GARCH models published in the second analysis. Advisors/Committee Members: Kao, Edward P. C. (advisor), Auchmuty, Giles (committee member), Susmel, Raul (committee member), Feng, Ziding (committee member).

Subjects/Keywords: expectation maximization; hidden semi-Markov model; hidden Markov model; hidden Markov renewal model; financial time series; jump; stochastic volatility

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Preston, B. 1. (n.d.). A Hidden Markov Renewal Model. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/2837

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Preston, Benjamin 1981-. “A Hidden Markov Renewal Model.” Thesis, University of Houston. Accessed December 11, 2019. http://hdl.handle.net/10657/2837.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Preston, Benjamin 1981-. “A Hidden Markov Renewal Model.” Web. 11 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Preston B1. A Hidden Markov Renewal Model. [Internet] [Thesis]. University of Houston; [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10657/2837.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Preston B1. A Hidden Markov Renewal Model. [Thesis]. University of Houston; Available from: http://hdl.handle.net/10657/2837

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

10. Le, Thanh Trung. Contribution to deterioration modeling and residual life estimation based on condition monitoring data : Contribution à la modélisation de la détérioration et à l'estimation de durée de vie résiduelle basées sur les données de surveillance conditionnelle.

Degree: Docteur es, Automatique et productique, 2015, Grenoble Alpes

URL: http://www.theses.fr/2015GREAT099

►

La maintenance prédictive joue un rôle important dans le maintien des systèmes de production continue car elle peut aider à réduire les interventions inutiles ainsi… (more)

▼

La maintenance prédictive joue un rôle important dans le maintien des systèmes de production continue car elle peut aider à réduire les interventions inutiles ainsi qu'à éviter des pannes imprévues. En effet, par rapport à la maintenance conditionnelle, la maintenance prédictive met en œuvre une étape supplémentaire, appelée le pronostic. Les opérations de maintenance sont planifiées sur la base de la prédiction des états de détérioration futurs et sur l'estimation de la vie résiduelle du système. Dans le cadre du projet européen FP7 SUPREME (Sustainable PREdictive Maintenance for manufacturing Equipment en Anglais), cette thèse se concentre sur le développement des modèles de détérioration stochastiques et sur des méthodes d'estimation de la vie résiduelle (Remaining Useful Life – RUL en anglais) associées pour les adapter aux cas d'application du projet. Plus précisément, les travaux présentés dans ce manuscrit sont divisés en deux parties principales. La première donne une étude détaillée des modèles de détérioration et des méthodes d'estimation de la RUL existant dans la littérature. En analysant leurs avantages et leurs inconvénients, une adaptation d’une approche de l'état de l'art est mise en œuvre sur des cas d'études issus du projet SUPREME et avec les données acquises à partir d’un banc d'essai développé pour le projet. Certains aspects pratiques de l’implémentation, à savoir la question de l'échange d'informations entre les partenaires du projet, sont également détaillées dans cette première partie. La deuxième partie est consacrée au développement de nouveaux modèles de détérioration et les méthodes d'estimation de la RUL qui permettent d'apporter des éléments de solutions aux problèmes de modélisation de détérioration et de prédiction de RUL soulevés dans le projet SUPREME. Plus précisément, pour surmonter le problème de la coexistence de plusieurs modes de détérioration, le concept des modèles « multi-branche » est proposé. Dans le cadre de cette thèse, deux catégories des modèles de type multi-branche sont présentées correspondant aux deux grands types de modélisation de l'état de santé des système, discret ou continu. Dans le cas discret, en se basant sur des modèles markoviens, deux modèles nommés Mb-HMM and Mb-HsMM (Multi-branch Hidden (semi-)Markov Model en anglais) sont présentés. Alors que dans le cas des états continus, les systèmes linéaires à sauts markoviens (JMLS) sont mis en œuvre. Pour chaque modèle, un cadre à deux phases est implémenté pour accomplir à la fois les tâches de diagnostic et de pronostic. A travers des simulations numériques, nous montrons que les modèles de type multi-branche peuvent donner des meilleures performances pour l'estimation de la RUL par rapport à celles obtenues par des modèles standards mais « mono-branche ».

Predictive maintenance plays a crucial role in maintaining continuous production systems since it can help to reduce unnecessary intervention actions and avoid unplanned breakdowns. Indeed, compared to the widely used condition-based maintenance (CBM),…

Advisors/Committee Members: Bérenguer, Christophe (thesis director), Chatelain, Florent (thesis director).

Subjects/Keywords: Détérioration; Vie résiduelle; Pronostic; Diagnostic; Maintenance prédictive; Modèle de Markov caché; Systèmes linéaires à sauts Markoviens; Deterioration modeling; Remaining useful life; Prognostics; Diagnostics; Predictive maintenance; Hidden Markov Model; HMM; Hidden semi-Markov model; HsMM; Jump Markov linear systems; JMLS; 620

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Le, T. T. (2015). Contribution to deterioration modeling and residual life estimation based on condition monitoring data : Contribution à la modélisation de la détérioration et à l'estimation de durée de vie résiduelle basées sur les données de surveillance conditionnelle. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2015GREAT099

Chicago Manual of Style (16^th Edition):

Le, Thanh Trung. “Contribution to deterioration modeling and residual life estimation based on condition monitoring data : Contribution à la modélisation de la détérioration et à l'estimation de durée de vie résiduelle basées sur les données de surveillance conditionnelle.” 2015. Doctoral Dissertation, Grenoble Alpes. Accessed December 11, 2019. http://www.theses.fr/2015GREAT099.

MLA Handbook (7^th Edition):

Le, Thanh Trung. “Contribution to deterioration modeling and residual life estimation based on condition monitoring data : Contribution à la modélisation de la détérioration et à l'estimation de durée de vie résiduelle basées sur les données de surveillance conditionnelle.” 2015. Web. 11 Dec 2019.

Vancouver:

Le TT. Contribution to deterioration modeling and residual life estimation based on condition monitoring data : Contribution à la modélisation de la détérioration et à l'estimation de durée de vie résiduelle basées sur les données de surveillance conditionnelle. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2015. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2015GREAT099.

Council of Science Editors:

Le TT. Contribution to deterioration modeling and residual life estimation based on condition monitoring data : Contribution à la modélisation de la détérioration et à l'estimation de durée de vie résiduelle basées sur les données de surveillance conditionnelle. [Doctoral Dissertation]. Grenoble Alpes; 2015. Available from: http://www.theses.fr/2015GREAT099

NSYSU

11. Huang, Yu-Zhi. Detecting Attack Sequence in Cloud Based on Hidden Markov Model.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726112-150041

► Cloud computing provides business new working paradigm with the benefit of cost reduce and resource sharing. Tasks from different users may be performed on the… (more)

Subjects/Keywords: Cloud Computing; Hidden Markov Model; Attack Plan

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Huang, Y. (2012). Detecting Attack Sequence in Cloud Based on Hidden Markov Model. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726112-150041

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Huang, Yu-Zhi. “Detecting Attack Sequence in Cloud Based on Hidden Markov Model.” 2012. Thesis, NSYSU. Accessed December 11, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726112-150041.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Huang, Yu-Zhi. “Detecting Attack Sequence in Cloud Based on Hidden Markov Model.” 2012. Web. 11 Dec 2019.

Vancouver:

Huang Y. Detecting Attack Sequence in Cloud Based on Hidden Markov Model. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Dec 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726112-150041.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang Y. Detecting Attack Sequence in Cloud Based on Hidden Markov Model. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726112-150041

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Nut Sornchumni. Research on Parameter Estimation of Hidden Markov Model with Differential Privacy : 隠れマルコフモデルに対するパラメータ推定アルゴリズムの差分プライバシー化に関する研究; カクレマルコフモデルニタイスルパラメータスイテイアルゴリズムノサブンプライバシーカニカンスルケンキュウ.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

URL: http://hdl.handle.net/10061/9846

Subjects/Keywords: Hidden Markov model

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sornchumni, N. (n.d.). Research on Parameter Estimation of Hidden Markov Model with Differential Privacy : 隠れマルコフモデルに対するパラメータ推定アルゴリズムの差分プライバシー化に関する研究; カクレマルコフモデルニタイスルパラメータスイテイアルゴリズムノサブンプライバシーカニカンスルケンキュウ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/9846

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sornchumni, Nut. “Research on Parameter Estimation of Hidden Markov Model with Differential Privacy : 隠れマルコフモデルに対するパラメータ推定アルゴリズムの差分プライバシー化に関する研究; カクレマルコフモデルニタイスルパラメータスイテイアルゴリズムノサブンプライバシーカニカンスルケンキュウ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed December 11, 2019. http://hdl.handle.net/10061/9846.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sornchumni, Nut. “Research on Parameter Estimation of Hidden Markov Model with Differential Privacy : 隠れマルコフモデルに対するパラメータ推定アルゴリズムの差分プライバシー化に関する研究; カクレマルコフモデルニタイスルパラメータスイテイアルゴリズムノサブンプライバシーカニカンスルケンキュウ.” Web. 11 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Sornchumni N. Research on Parameter Estimation of Hidden Markov Model with Differential Privacy : 隠れマルコフモデルに対するパラメータ推定アルゴリズムの差分プライバシー化に関する研究; カクレマルコフモデルニタイスルパラメータスイテイアルゴリズムノサブンプライバシーカニカンスルケンキュウ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10061/9846.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Sornchumni N. Research on Parameter Estimation of Hidden Markov Model with Differential Privacy : 隠れマルコフモデルに対するパラメータ推定アルゴリズムの差分プライバシー化に関する研究; カクレマルコフモデルニタイスルパラメータスイテイアルゴリズムノサブンプライバシーカニカンスルケンキュウ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/9846

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Penn State University

13. Osotsi, Ame J. Event Detection in Twitter Data: A Hidden Markov Model-Based Change Point Algorithm.

Degree: MS, Statistics, 2016, Penn State University

URL: https://etda.libraries.psu.edu/catalog/vm40xr56k

► Twitter is a popular microblogging platform that displays real-time status updates from over 140 million users a day. The users post about anything, from daily… (more)

Subjects/Keywords: Change Point; Hidden Markov Model; Twitter

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Osotsi, A. J. (2016). Event Detection in Twitter Data: A Hidden Markov Model-Based Change Point Algorithm. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/vm40xr56k

Chicago Manual of Style (16^th Edition):

Osotsi, Ame J. “Event Detection in Twitter Data: A Hidden Markov Model-Based Change Point Algorithm.” 2016. Masters Thesis, Penn State University. Accessed December 11, 2019. https://etda.libraries.psu.edu/catalog/vm40xr56k.

MLA Handbook (7^th Edition):

Osotsi, Ame J. “Event Detection in Twitter Data: A Hidden Markov Model-Based Change Point Algorithm.” 2016. Web. 11 Dec 2019.

Vancouver:

Osotsi AJ. Event Detection in Twitter Data: A Hidden Markov Model-Based Change Point Algorithm. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2019 Dec 11]. Available from: https://etda.libraries.psu.edu/catalog/vm40xr56k.

Council of Science Editors:

Osotsi AJ. Event Detection in Twitter Data: A Hidden Markov Model-Based Change Point Algorithm. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/vm40xr56k

NSYSU

14. Liu, Lun-Kang. The Analysis and Forecasting of the Bitcoin Return.

Degree: Master, Institute Of Applied Mathematics, 2018, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-164022

► The feasibility of cryptocurrency as an investment tool has been a topic of considerable concern in recent years. Bitcoin is a cryptocurrency that is universally… (more)

Subjects/Keywords: Text mining; Hidden Markov model; Cryptocurrency

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, L. (2018). The Analysis and Forecasting of the Bitcoin Return. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-164022

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Lun-Kang. “The Analysis and Forecasting of the Bitcoin Return.” 2018. Thesis, NSYSU. Accessed December 11, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-164022.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Lun-Kang. “The Analysis and Forecasting of the Bitcoin Return.” 2018. Web. 11 Dec 2019.

Vancouver:

Liu L. The Analysis and Forecasting of the Bitcoin Return. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Dec 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-164022.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu L. The Analysis and Forecasting of the Bitcoin Return. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603118-164022

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

15. Liu, Mingming. Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models.

Degree: PhD, Computer Science, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/73703

► With the development of sequencing technologies, more and more sequence variants are available for investigation. Different types of variants in the human genome have been… (more)

Subjects/Keywords: Genetic variation; Indel; SNP; Hidden Markov Model

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, M. (2015). Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73703

Chicago Manual of Style (16^th Edition):

Liu, Mingming. “Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models.” 2015. Doctoral Dissertation, Virginia Tech. Accessed December 11, 2019. http://hdl.handle.net/10919/73703.

MLA Handbook (7^th Edition):

Liu, Mingming. “Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models.” 2015. Web. 11 Dec 2019.

Vancouver:

Liu M. Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10919/73703.

Council of Science Editors:

Liu M. Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73703

University of North Texas

16. Saudagar, Abdullah Naseer Ahmed. Automatic Extraction of Highlights from a Baseball Video Using HMM and MPEG-7 Descriptors.

Degree: 2011, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc103388/

► In today’s fast paced world, as the number of stations of television programming offered is increasing rapidly, time accessible to watch them remains same or… (more)

Subjects/Keywords: highlights; descriptors; MPEG-7; hidden Markov model

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Saudagar, A. N. A. (2011). Automatic Extraction of Highlights from a Baseball Video Using HMM and MPEG-7 Descriptors. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc103388/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Saudagar, Abdullah Naseer Ahmed. “Automatic Extraction of Highlights from a Baseball Video Using HMM and MPEG-7 Descriptors.” 2011. Thesis, University of North Texas. Accessed December 11, 2019. https://digital.library.unt.edu/ark:/67531/metadc103388/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Saudagar, Abdullah Naseer Ahmed. “Automatic Extraction of Highlights from a Baseball Video Using HMM and MPEG-7 Descriptors.” 2011. Web. 11 Dec 2019.

Vancouver:

Saudagar ANA. Automatic Extraction of Highlights from a Baseball Video Using HMM and MPEG-7 Descriptors. [Internet] [Thesis]. University of North Texas; 2011. [cited 2019 Dec 11]. Available from: https://digital.library.unt.edu/ark:/67531/metadc103388/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saudagar ANA. Automatic Extraction of Highlights from a Baseball Video Using HMM and MPEG-7 Descriptors. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc103388/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

17. -6024-5216. Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance.

Degree: PhD, Operations Research and Industrial Engineering, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/63715

► Condition-based maintenance (CBM) can be viewed as a transformation of data gathered from a piece of equipment into information about its condition, and further into… (more)

▼ Condition-based maintenance (CBM) can be viewed as a transformation of data gathered from a piece of equipment into information about its condition, and further into decisions on what to do with the equipment. Hidden Markov model (HMM) is a useful framework to probabilistically model the condition of complex engineering systems with partial observability of the underlying states. Condition monitoring and prediction of such type of system requires accurate knowledge of HMM that describes the degradation of such a system with data collected from the sensors mounted on it, as well as understanding of the uncertainty of the HMMs identified from the available data. To that end, this thesis proposes a novel HMM estimation scheme based on the principles of Bayes theorem. The newly proposed Bayesian estimation approach for estimating HMM parameters naturally yields information about model parametric uncertainties via posterior distributions of HMM parameters emanating from the estimation process. In addition, a novel condition monitoring scheme based on uncertain HMMs of the degradation process is proposed and demonstrated on a large dataset obtained from a semiconductor manufacturing facility. Portion of the data was used to build operating mode specific HMMs of machine degradation via the newly proposed Bayesian estimation process, while the remainder of the data was used for monitoring of machine condition using the uncertain degradation HMMs yielded by Bayesian estimation. Comparison with a traditional signature-based statistical monitoring method showed that the newly proposed approach effectively utilizes the fact that its parameters are uncertain themselves, leading to orders of magnitude fewer false alarms. This methodology is further extended to address the practical issue that maintenance interventions are usually imperfect. We propose both a novel non-ergodic and non-homogeneous HMM that assumes imperfect maintenances and a novel process monitoring method capable of monitoring the hidden states considering model uncertainty. Significant improvement in both the log-likelihood of estimated HMM parameters and monitoring performance were observed, compared to those obtained using degradation HMMs that always assumed perfect maintenance. Finally, behavior of the posterior distribution of parameters of unidirectional non- ergodic HMMs modeling in this thesis for degradation was theoretically analyzed in terms of their evolution as more data become available in the estimation process. The convergence problem is formulated as a Bernstein-von Mises theorem (BvMT), and under certain regularity conditions, the sequence of posterior distributions is proven to converge to a Gaussian distribution with variance matrix being the inverse of the Fisher information matrix. An example of a unidirectional HMM is presented for which the regularity conditions are verified, and illustrations of expected theoretical results are given using simulation. The understanding of such convergence of posterior distributions enables one to… Advisors/Committee Members: Djurdjanovic, Dragan (advisor), Hasenbein, John (committee member), Bickel, James Eric (committee member), Walker, Stephen G (committee member), Hanasusanto, Grani (committee member).

Subjects/Keywords: Hidden Markov model; Condition-based maintenance

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

-6024-5216. (2018). Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63715

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-6024-5216. “Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed December 11, 2019. http://hdl.handle.net/2152/63715.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-6024-5216. “Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance.” 2018. Web. 11 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6024-5216. Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2152/63715.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6024-5216. Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/63715

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Anna University

18. Jagadeesh Kannan R. Handwritten character recognition using hybrid techniques.

Degree: Information and Communication, 2013, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/9849

►

The primary objective of this research work is to develop a character recognition system, which can further be developed to recognize all printed and handwritten… (more)

▼

The primary objective of this research work is to develop a character recognition system, which can further be developed to recognize all printed and handwritten Tamil characters. Such a system will be extremely useful to digitize innumerable ancient documents available both on paper and palm leaves and are dated few hundred years back. The problem considered is to develop a recognition system for Printed and Handwritten Tamil and Numeral Characters. An overview of the research work is presented below. The first component of this research work focuses on technique to recognize handwritten Tamil characters using a Hidden Markov Model (HMM) approach, for a subset of the Tamil alphabet. The second component of this research work also focuses on technique to recognize handwritten Tamil characters using an Octal Graph approach. The third component introduces a methodology to recognize handwritten characters using Structural Hidden Markov Models (SHMM). The proposed approach is motivated by the need to model complex structures which are encountered in many areas such as speech/handwriting recognition, content-based information retrieval etc. The observations considered are strings that produce the structures. These observations are related in the sense they all contribute to produce a particular structure. The recognition efficiency of the system is 96.5%. The results reported in this component shows that the Structural Hidden Markov Model (SHMM) produces better recognition than the Hidden Markov Model. A character recognition system was successfully developed for subset of Tamil characters and numerals and found to perform reasonably well with sufficient accuracy. With this preliminary study of character recognition systems it is planned to continue the work in future. A more complete OCR will evolve in public domain with this work as the starting point, so that the primary source of motivation will benefit from the efforts.

None

Advisors/Committee Members: Suresh R M.

Subjects/Keywords: Structural Hidden Markov Model; Hidden Markov Model; Character recognition system; Tamil character

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

R, J. K. (2013). Handwritten character recognition using hybrid techniques. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9849

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

R, Jagadeesh Kannan. “Handwritten character recognition using hybrid techniques.” 2013. Thesis, Anna University. Accessed December 11, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/9849.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

R, Jagadeesh Kannan. “Handwritten character recognition using hybrid techniques.” 2013. Web. 11 Dec 2019.

Vancouver:

R JK. Handwritten character recognition using hybrid techniques. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Dec 11]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9849.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

R JK. Handwritten character recognition using hybrid techniques. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9849

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

19. Ali Akbar Soltan, Reza. Enhancements in Markovian Dynamics.

Degree: PhD, Mechanical Engineering, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/77345

► Many common statistical techniques for modeling multidimensional dynamic data sets can be seen as variants of one (or multiple) underlying linear/nonlinear model(s). These statistical techniques… (more)

▼ Many common statistical techniques for modeling multidimensional dynamic data sets can be seen as variants of one (or multiple) underlying linear/nonlinear model(s). These statistical techniques fall into two broad categories of supervised and unsupervised learning. The emphasis of this dissertation is on unsupervised learning under multiple generative models. For linear models, this has been achieved by collective observations and derivations made by previous authors during the last few decades. Factor analysis, polynomial chaos expansion, principal component analysis, gaussian mixture clustering, vector quantization, and Kalman filter models can all be unified as some variations of unsupervised learning under a single basic linear generative model. Hidden Markov modeling (HMM), however, is categorized as an unsupervised learning under multiple linear/nonlinear generative models. This dissertation is primarily focused on hidden Markov models (HMMs). On the first half of this dissertation we study enhancements on the theory of hidden Markov modeling. These include three branches: 1) a robust as well as a closed-form parameter estimation solution to the expectation maximization (EM) process of HMMs for the case of elliptically symmetrical densities; 2) a two-step HMM, with a combined state sequence via an extended Viterbi algorithm for smoother state estimation; and 3) a duration-dependent HMM, for estimating the expected residency frequency on each state. Then, the second half of the dissertation studies three novel applications of these methods: 1) the applications of Markov switching models on the Bifurcation Theory in nonlinear dynamics; 2) a Game Theory application of HMM, based on fundamental theory of card counting and an example on the game of Baccarat; and 3) Trust modeling and the estimation of trustworthiness metrics in cyber security systems via Markov switching models. As a result of the duration dependent HMM, we achieved a better estimation for the expected duration of stay on each regime. Then by robust and closed form solution to the EM algorithm we achieved robustness against outliers in the training data set as well as higher computational efficiency in the maximization step of the EM algorithm. By means of the two-step HMM we achieved smoother probability estimation with higher likelihood than the standard HMM. Advisors/Committee Members: Ahmadian, Mehdi (committeechair), Hall, T. Simin (committee member), Southward, Steve C. (committee member), Asl, Farshid M. (committee member), Ball, Joseph A. (committee member), Taheri, Saied (committee member).

Subjects/Keywords: Duration Dependent Hidden Markov; Expectation Maximization; Nonlinear Stochastic Model; Hidden Markov Model; Maximum Likelihood Estimation

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ali Akbar Soltan, R. (2012). Enhancements in Markovian Dynamics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77345

Chicago Manual of Style (16^th Edition):

Ali Akbar Soltan, Reza. “Enhancements in Markovian Dynamics.” 2012. Doctoral Dissertation, Virginia Tech. Accessed December 11, 2019. http://hdl.handle.net/10919/77345.

MLA Handbook (7^th Edition):

Ali Akbar Soltan, Reza. “Enhancements in Markovian Dynamics.” 2012. Web. 11 Dec 2019.

Vancouver:

Ali Akbar Soltan R. Enhancements in Markovian Dynamics. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10919/77345.

Council of Science Editors:

Ali Akbar Soltan R. Enhancements in Markovian Dynamics. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/77345

20. Treinen, James J. Heuristics For Improved Enterprise Intrusion Detection.

Degree: PhD, Computer Science, 2009, U of Denver

URL: https://digitalcommons.du.edu/etd/657

► One of the greatest challenges facing network operators today is the identification of malicious activity on their networks. The current approach is to deploy… (more)

▼ One of the greatest challenges facing network operators today is the identification of malicious activity on their networks. The current approach is to deploy a set of intrusion detection sensors (IDSs) in various locations throughout the network and on strategic hosts. Unfortunately, the available intrusion detection technologies generate an overwhelming volume of false alarms, making the task of identifying genuine attacks nearly impossible. This problem is very difficult to solve even in networks of nominal size. The task of uncovering attacks in enterprise class networks quickly becomes unmanageable. Research on improving intrusion detection sensors is ongoing, but given the nature of the problem to be solved, progress is slow. Research simultaneously continues in the field of mining the set of alarms produced by IDS sensors. Varying techniques have been proposed to aggregate, correlate, and classify the alarms in ways that make the end result more concise and digestible for human analysis. To date, the majority of these techniques have been successful only in networks of modest size. As a means of extending this research to real world, enterprise scale networks, we propose 5 heuristics supporting a three-pronged approach to the systematic evaluation of large intrusion detection logs. Primarily, we provide a set of algorithms to assist operations personnel in the daunting task of ensuring that no true attack goes unnoticed. Secondly, we provide information that can be used to tune the sensors which are deployed on the network, reducing the overall alarm volume, thus mitigating the monitoring costs both in terms of hardware and labor, and improving overall accuracy. Third, we provide a means of discovering stages of attacks that were overlooked by the analyst, based on logs of known security incidents. Our techniques work by applying a combination of graph algorithms and Markovian stochastic processes to perform probabilistic analysis as to whether an alarm is a true or false positive. Using these techniques it is possible to significantly reduce the total number of alarms and hosts which must be examined manually, while simultaneously discovering attacks that had previously gone unnoticed. The proposed algorithms are also successful at the discovery of new profiles for multi-stage attacks, and can be used in the automatic generation of meta-alarms, or rules to assist the monitoring infrastructure in performing automated analysis. We demonstrate that it is possible to successfully rank hosts which comprise the vertices of an Alarm Graph in a manner such that those hosts which are of highest risk for being involved in attack are immediately highlighted for examination or inclusion on hot lists. We close with an evaluation of 3 sensor profiling algorithms, and show that the order in which alarms are generated is tightly coupled with whether or not they are false positives. We show that by using time based Markovian analysis of the alarms, we are able to identify alarms which have… Advisors/Committee Members: Ramakrishna Thurimella.

Subjects/Keywords: Anomaly Detection; Hidden Markov Model; Intrusion Detection; Markov Chain; Misuse Detection

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Treinen, J. J. (2009). Heuristics For Improved Enterprise Intrusion Detection. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/657

Chicago Manual of Style (16^th Edition):

Treinen, James J. “Heuristics For Improved Enterprise Intrusion Detection.” 2009. Doctoral Dissertation, U of Denver. Accessed December 11, 2019. https://digitalcommons.du.edu/etd/657.

MLA Handbook (7^th Edition):

Treinen, James J. “Heuristics For Improved Enterprise Intrusion Detection.” 2009. Web. 11 Dec 2019.

Vancouver:

Treinen JJ. Heuristics For Improved Enterprise Intrusion Detection. [Internet] [Doctoral dissertation]. U of Denver; 2009. [cited 2019 Dec 11]. Available from: https://digitalcommons.du.edu/etd/657.

Council of Science Editors:

Treinen JJ. Heuristics For Improved Enterprise Intrusion Detection. [Doctoral Dissertation]. U of Denver; 2009. Available from: https://digitalcommons.du.edu/etd/657

Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

21. Pertsinidou, Christina Elisavet. Stochastic models for the estimation of the seismic hazard.

Degree: 2017, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

URL: http://hdl.handle.net/10442/hedi/40473

►

The aim of this thesis is the development of new mathematical methodologies and the application of mathematical models for the estimation of the seismic hazard… (more)

▼

The aim of this thesis is the development of new mathematical methodologies and the application of mathematical models for the estimation of the seismic hazard in Greece. Different semi-Markov models are developed for studying the seismicity of the areas of the central Ionian Islands and the North Aegean Sea. Quantities such as the kernel and the destination probabilities are evaluated, considering geometric, discrete-Weibull and Pareto distributed sojourn times. Useful results are obtained for forecasting purposes. A new Viterbi algorithm for hidden semi-Markov models is constructed, whose complexity is a linear function of the number of observations and a quadratic function of the number of hidden states, the lowest existing in the literature. Furthermore, an extension of this new algorithm is introduced for the case that an observation depends on the corresponding hidden state but also on the previous observation (SM1-M1 case). Different hidden semi-Markov models (HSMMs) are applied for the study of the North and South Aegean Sea. The earthquake magnitudes and locations comprise the observation sequence and the new Viterbi algorithm is implemented in order to decode the hidden stress field associated with seismogenesis. Precursory phases (variations of the hidden stress field) were detected warning for an anticipated earthquake occurrence for 70 out of 88 cases (the optimal model’s score). The sojourn times of the hidden process were assumed to follow Poisson, logarithmic or negative binomial distributions, whereas the hidden stress levels were classified into 2, 3 or 4 states. HMMs were also adapted without presenting significant results as for the precursory phases. A generalized Viterbi algorithm for HSMMs is constructed in the sense that now transitions to the same hidden state are allowed and can also be decoded. Furthermore, an extension of this generalized algorithm in the SM1-M1 context is given. We also modify adequately the Cramér-Lundberg model considering negative and positive claims, in order to describe the evolution in time of the Coulomb failure function changes (ΔCFF values) computed at the locations of seven strong (M ≥ 6) earthquakes of the North Aegean Sea. Ruin probability formulas are derived and proved in a general form. Corollaries are also formulated for the exponential and the Pareto distribution. The aim is to shed light to the following problem posed by the seismologists: During a specific year why did an earthquake occur at a specific location and not at another location in seismotectonically homogeneous areas with positive ΔCFF values (stress enhanced areas). The results demonstrate that the new probability formulas can contribute in answering the aforementioned question.

Σκοπός της διατριβής είναι η ανάπτυξη νέων μαθηματικών μεθόδων και η εφαρμογή μαθηματικών μοντέλων για την εκτίμηση της σεισμικής επικινδυνότητας στην Ελλάδα. Θεωρήσαμε διαφορετικά ημι-Μαρκοβιανά μοντέλα για τη μελέτη της σεισμικότητας στην περιοχή του Ιονίου και του Βόρειου Αιγαίου πελάγους. Εκτιμήθηκαν οι…

Subjects/Keywords: Κρυφά ημι-μαρκοβιανά μοντέλα; Αλγόριθμος Viterbi; Mεταβολές της τάσης Coulomb (ΔCFF); Μοντέλο Cramér-Lundberg; Hidden semi-Markov models; Viterbi algorithm; Coulomb failure function changes (ΔCFF); Cramér-Lundberg model

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pertsinidou, C. E. (2017). Stochastic models for the estimation of the seismic hazard. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/40473

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pertsinidou, Christina Elisavet. “Stochastic models for the estimation of the seismic hazard.” 2017. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed December 11, 2019. http://hdl.handle.net/10442/hedi/40473.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pertsinidou, Christina Elisavet. “Stochastic models for the estimation of the seismic hazard.” 2017. Web. 11 Dec 2019.

Vancouver:

Pertsinidou CE. Stochastic models for the estimation of the seismic hazard. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2017. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10442/hedi/40473.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pertsinidou CE. Stochastic models for the estimation of the seismic hazard. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2017. Available from: http://hdl.handle.net/10442/hedi/40473

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. OMID GERAMIFARD. Hidden Markov Model-based Methods In Condition Monitoring of Machinery Systems.

Degree: 2013, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/43577

Subjects/Keywords: Diagnosis; Prognosis; Hidden Markov Model; Condition Monitoring; Multi-modal; Semi-Nonparametric

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

GERAMIFARD, O. (2013). Hidden Markov Model-based Methods In Condition Monitoring of Machinery Systems. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/43577

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

GERAMIFARD, OMID. “Hidden Markov Model-based Methods In Condition Monitoring of Machinery Systems.” 2013. Thesis, National University of Singapore. Accessed December 11, 2019. http://scholarbank.nus.edu.sg/handle/10635/43577.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

GERAMIFARD, OMID. “Hidden Markov Model-based Methods In Condition Monitoring of Machinery Systems.” 2013. Web. 11 Dec 2019.

Vancouver:

GERAMIFARD O. Hidden Markov Model-based Methods In Condition Monitoring of Machinery Systems. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2019 Dec 11]. Available from: http://scholarbank.nus.edu.sg/handle/10635/43577.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

GERAMIFARD O. Hidden Markov Model-based Methods In Condition Monitoring of Machinery Systems. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/43577

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Université Montpellier II

23. Joo Arakawa, Rocío. A behavioral ecology of fishermen : hidden stories from trajectory data in the Northern Humboldt Current System : Une écologie du comportement des pêcheurs : histoires cachées à partir des données de trajectoires dans le système de Courant de Humboldt.

Degree: Docteur es, Ecosystèmes et sciences agronomiques, 2013, Université Montpellier II

URL: http://www.theses.fr/2013MON20224

►

Ce travail propose une contribution originale à la compréhension du comportement spatial des pêcheurs, basée sur les paradigmes de l'écologie comportementale et de l'écologie du… (more)

▼

Ce travail propose une contribution originale à la compréhension du comportement spatial des pêcheurs, basée sur les paradigmes de l'écologie comportementale et de l'écologie du mouvement. En s'appuyant sur des données du 'Vessel Monitoring System', nous étudions le comportement des pêcheurs d'anchois du Pérou à des échelles différentes: (1) les modes comportementaux au sein des voyages de pêche (i.e. recherche, pêche et trajet), (2) les patrons comportementaux parmi les voyages de pêche, (3) les patrons comportementaux par saison de pêche conditionnés par des scénarios écosystémiques et (4) les patrons spatiaux des positions de modes comportementaux, que nous utilisons pour la création de cartes de probabilité de présence d'anchois. Pour la première échelle, nous comparons plusieurs modèles Markoviens (modèles de Markov et semi-Markov cachés) et discriminatifs (forêts aléatoires, machines à vecteurs de support et réseaux de neurones artificiels) pour inférer les modes comportementaux associés aux trajectoires VMS. L'utilisation d'un ensemble de données pour lesquelles les modes comportementaux sont connus (grâce aux données collectées par des observateurs embarqués), nous permet d'entraîner les modèles dans un cadre supervisé et de les valider. Les modèles de semi-Markov cachés sont les plus performants, et sont retenus pour inférer les modes comportementaux sur l'ensemble de données VMS. Pour la deuxième échelle, nous caractérisons chaque voyage de pêche par plusieurs descripteurs, y compris le temps passé dans chaque mode comportemental. En utilisant une analyse de classification hiérarchique, les patrons des voyages de pêche sont classés en groupes associés à des zones de gestion, aux segments de la flottille et aux personnalités des capitaines. Pour la troisième échelle, nous analysons comment les conditions écologiques donnent forme au comportement des pêcheurs à l'échelle d'une saison de pêche. Via des analyses de co-inertie, nous trouvons des associations significatives entre les dynamiques spatiales des pêcheurs, des anchois et de l'environnement, et nous caractérisons la réponse comportementale des pêcheurs selon des scénarios environnementaux contrastés. Pour la quatrième échelle, nous étudions si le comportement spatial des pêcheurs reflète dans une certaine mesure la répartition spatiale de l'anchois. Nous construisons un indicateur de la présence d'anchois à l'aide des modes comportementaux géo-référencés inférés à partir des données VMS. Ce travail propose enfin une vision plus large du comportement de pêcheurs: les pêcheurs ne sont pas seulement des agents économiques, ils sont aussi des fourrageurs, conditionnés par la variabilité dans l'écosystème. Pour conclure, nous discutons de la façon dont ces résultats peuvent avoir de l'importance pour la gestion de la pêche, des analyses de comportement collectif et des modèles end-to-end.

This work proposes an original contribution to the understanding of fishermen spatial behavior, based on the behavioral ecology and movement ecology paradigms. Through…

Advisors/Committee Members: Bertrand, Sophie (thesis director), Fablet, Ronan (thesis director).

Subjects/Keywords: Système de suivi des bateaux; Données de suivi; Mouvement des fourrageurs; Modèles de semi-Markov cachés; Validation des modèles; Anchoveta Engraulis ringens; Vessel monitoring system; Tracking data; Foraging movement; Hidden semi-Markov models; Model validation; Anchoveta Engraulis ringens

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Joo Arakawa, R. (2013). A behavioral ecology of fishermen : hidden stories from trajectory data in the Northern Humboldt Current System : Une écologie du comportement des pêcheurs : histoires cachées à partir des données de trajectoires dans le système de Courant de Humboldt. (Doctoral Dissertation). Université Montpellier II. Retrieved from http://www.theses.fr/2013MON20224

Chicago Manual of Style (16^th Edition):

Joo Arakawa, Rocío. “A behavioral ecology of fishermen : hidden stories from trajectory data in the Northern Humboldt Current System : Une écologie du comportement des pêcheurs : histoires cachées à partir des données de trajectoires dans le système de Courant de Humboldt.” 2013. Doctoral Dissertation, Université Montpellier II. Accessed December 11, 2019. http://www.theses.fr/2013MON20224.

MLA Handbook (7^th Edition):

Joo Arakawa, Rocío. “A behavioral ecology of fishermen : hidden stories from trajectory data in the Northern Humboldt Current System : Une écologie du comportement des pêcheurs : histoires cachées à partir des données de trajectoires dans le système de Courant de Humboldt.” 2013. Web. 11 Dec 2019.

Vancouver:

Joo Arakawa R. A behavioral ecology of fishermen : hidden stories from trajectory data in the Northern Humboldt Current System : Une écologie du comportement des pêcheurs : histoires cachées à partir des données de trajectoires dans le système de Courant de Humboldt. [Internet] [Doctoral dissertation]. Université Montpellier II; 2013. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2013MON20224.

Council of Science Editors:

Joo Arakawa R. A behavioral ecology of fishermen : hidden stories from trajectory data in the Northern Humboldt Current System : Une écologie du comportement des pêcheurs : histoires cachées à partir des données de trajectoires dans le système de Courant de Humboldt. [Doctoral Dissertation]. Université Montpellier II; 2013. Available from: http://www.theses.fr/2013MON20224

McMaster University

24. Li, Michael. Incorporating Temporal Heterogeneity in Hidden Markov Models For Animal Movement.

Degree: MSc, 2015, McMaster University

URL: http://hdl.handle.net/11375/18321

►

Clustering time-series data into discrete groups can improve prediction as well as providing insight into the nature of underlying, unobservable states of the system. However,… (more)

Subjects/Keywords: Hidden Markov

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, M. (2015). Incorporating Temporal Heterogeneity in Hidden Markov Models For Animal Movement. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18321

Chicago Manual of Style (16^th Edition):

Li, Michael. “Incorporating Temporal Heterogeneity in Hidden Markov Models For Animal Movement.” 2015. Masters Thesis, McMaster University. Accessed December 11, 2019. http://hdl.handle.net/11375/18321.

MLA Handbook (7^th Edition):

Li, Michael. “Incorporating Temporal Heterogeneity in Hidden Markov Models For Animal Movement.” 2015. Web. 11 Dec 2019.

Vancouver:

Li M. Incorporating Temporal Heterogeneity in Hidden Markov Models For Animal Movement. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/11375/18321.

Council of Science Editors:

Li M. Incorporating Temporal Heterogeneity in Hidden Markov Models For Animal Movement. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18321

University of St. Andrews

25. Worthington, Hannah. The statistical development of integrated multi-state stopover models .

Degree: 2016, University of St. Andrews

URL: http://hdl.handle.net/10023/18206

► This thesis focusses on the analysis of ecological capture-recapture data and the estimation of population parameters of interest. Many of the common models applied to… (more)

▼ This thesis focusses on the analysis of ecological capture-recapture data and the estimation of population parameters of interest. Many of the common models applied to such data, for example the Cormack-Jolly-Seber model, condition on the first capture of an individual or on the number of individuals encountered. A consequence of this conditioning is that it is not possible to estimate the total abundance directly. Stopover models remove the conditioning on first capture and instead explicitly model the arrival of individuals into the population. This permits the estimation of abundance through the likelihood along with other parameters such as capture and retention probabilities. We develop an integrated stopover model capable of analysing multiple years of data within a single likelihood and allowing parameters to be shared across years. We consider special cases of this model, writing the likelihood using sufficient statistics as well as utilising the hidden Markov model framework to allow for efficient evaluation of the likelihood. We further extend this model to an integrated multistate-stopover model which incorporates any available discrete state information. The new stopover models are applied to real ecological data sets. A cohort-dependent single-year stopover model is applied to data on grey seals, Halichoerus grypus, where the cohorts are determined by birth year. The integrated stopover model and integrated multi-state stopover model are used to analyse a data set on great crested newts, Triturus cristatus. A subset of this data is used to explore closed population models that permit capture probabilities to depend on discrete state information. The final section of this thesis considers a capture-recapture-recovery data set relating to Soay sheep, a breed of domestic sheep Ovis aries. These data contain individual time-varying continuous covariates and raise the issue of dealing with missing data. Advisors/Committee Members: King, Ruth (advisor).

Subjects/Keywords: Integrated stopover model; Capture-recapture; Hidden Markov model; Multi-state

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Worthington, H. (2016). The statistical development of integrated multi-state stopover models . (Thesis). University of St. Andrews. Retrieved from http://hdl.handle.net/10023/18206

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Worthington, Hannah. “The statistical development of integrated multi-state stopover models .” 2016. Thesis, University of St. Andrews. Accessed December 11, 2019. http://hdl.handle.net/10023/18206.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Worthington, Hannah. “The statistical development of integrated multi-state stopover models .” 2016. Web. 11 Dec 2019.

Vancouver:

Worthington H. The statistical development of integrated multi-state stopover models . [Internet] [Thesis]. University of St. Andrews; 2016. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10023/18206.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Worthington H. The statistical development of integrated multi-state stopover models . [Thesis]. University of St. Andrews; 2016. Available from: http://hdl.handle.net/10023/18206

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Exeter

26. Economou, Theodoros. Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure.

Degree: PhD, 2010, University of Exeter

URL: http://hdl.handle.net/10036/111499

► Recurrent events are very common in a wide range of scientific disciplines. The majority of statistical models developed to characterise recurrent events are derived from… (more)

▼ Recurrent events are very common in a wide range of scientific disciplines. The majority of statistical models developed to characterise recurrent events are derived from either reliability theory or survival analysis. This thesis concentrates on applications that arise from reliability, which in general involve the study about components or devices where the recurring event is failure. Specifically, interest lies in repairable components that experience a number of failures during their lifetime. The goal is to develop statistical models in order to gain a good understanding about the driving force behind the failures. A particular counting process is adopted, the non-homogenous Poisson process (NHPP), where the rate of occurrence (failure rate) depends on time. The primary application considered in the thesis is the prediction of underground water pipe bursts although the methods described have more general scope. First, a Bayesian mixed effects NHPP model is developed and applied to a network of water pipes using MCMC. The model is then extended to a mixture of NHPPs. Further, a special mixture case, the zero-inflated NHPP model is developed to cope with data involving a large number of pipes that have never failed. The zero-inflated model is applied to the same pipe network. Quite often, data involving recurrent failures over time, are aggregated where for instance the times of failures are unknown and only the total number of failures are available. Aggregated versions of the NHPP model and its zero-inflated version are developed to accommodate aggregated data and these are applied to the aggregated version of the earlier data set. Complex devices in random environments often exhibit what may be termed as state changes in their behaviour. These state changes may be caused by unobserved and possibly non-stationary processes such as severe weather changes. A hidden semi-Markov NHPP model is formulated, which is a NHPP process modulated by an unobserved semi-Markov process. An algorithm is developed to evaluate the likelihood of this model and a Metropolis-Hastings sampler is constructed for parameter estimation. Simulation studies are performed to test implementation and finally an illustrative application of the model is presented. The thesis concludes with a general discussion and a list of possible generalisations and extensions as well as possible applications other than the ones considered.

Subjects/Keywords: NHPP : random effects : zero-inflation : MCMC : hidden semi-Markov : water pipe failures

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Economou, T. (2010). Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10036/111499

Chicago Manual of Style (16^th Edition):

Economou, Theodoros. “Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure.” 2010. Doctoral Dissertation, University of Exeter. Accessed December 11, 2019. http://hdl.handle.net/10036/111499.

MLA Handbook (7^th Edition):

Economou, Theodoros. “Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure.” 2010. Web. 11 Dec 2019.

Vancouver:

Economou T. Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure. [Internet] [Doctoral dissertation]. University of Exeter; 2010. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10036/111499.

Council of Science Editors:

Economou T. Bayesian modelling of recurrent pipe failures in urban water systems using non-homogeneous Poisson processes with latent structure. [Doctoral Dissertation]. University of Exeter; 2010. Available from: http://hdl.handle.net/10036/111499

Louisiana State University

27. Carroll, Benjamin Elliott. Learning and identification of wireless network internode dynamics using software defined radio.

Degree: MSEE, Electrical and Computer Engineering, 2012, Louisiana State University

URL: etd-01222013-095832 ; https://digitalcommons.lsu.edu/gradschool_theses/2509

► The recently developed paradigm of cognitive radio wireless devices has been developed with the goal of achieving more customizable and efficient spectrum utilization of commonly… (more)

▼ The recently developed paradigm of cognitive radio wireless devices has been developed with the goal of achieving more customizable and efficient spectrum utilization of commonly used wireless frequency bands. The primary focus of such spectrum utilization approaches has been to discern occupancies and vacancies over portions of the wireless spectrum without necessarily identifying how specific radio frequency (RF) devices contribute to the temporal dynamics of these occupancy patterns within the spectrum. The aim of this thesis is to utilize a hidden semi-Markov model (HSMM) statistical analysis to infer the individual occupancy patterns of specific users from wireless RF observation traces. It is proposed that the HSMM approach for RF device characterization over time may act as a first step towards performing a more complete characterization of the RF spectrum in which the inferred traffic patterns may demonstrate the coexistence of multiple networks, the specific devices comprising each distinct network, and the level of mutual interference between the component networks resultant from such coexistence. The first main portion of this thesis is the development of a Bayesian learning framework for HSMM characterization of the wireless RF observations, with occupancy periods and each individual RF device being classified as distinct states in the HSMM. The traditional HSMM approach is supplemented with the concept of the hierarchical Dirichlet random process to achieve a minimal number of states needed to effectively capture each distinct device, without the need for strong a priori assumptions regarding the number of devices seen in the RF trace prior to computational analysis. The second portion of the thesis utilizes user-programmed cognitive radios to construct a real-time software-defined RF network environment emulation testbed to assess the accuracy of the HSMM characterization. Finally, the HSMM algorithm is tested on wireless devices operating under an actual implementation of the ubiquitous IEEE 802.11 wireless standard.

Subjects/Keywords: bayesian nonparametrics; wireless device RF identification; hidden semi markov models; software defined radio

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Carroll, B. E. (2012). Learning and identification of wireless network internode dynamics using software defined radio. (Masters Thesis). Louisiana State University. Retrieved from etd-01222013-095832 ; https://digitalcommons.lsu.edu/gradschool_theses/2509

Chicago Manual of Style (16^th Edition):

Carroll, Benjamin Elliott. “Learning and identification of wireless network internode dynamics using software defined radio.” 2012. Masters Thesis, Louisiana State University. Accessed December 11, 2019. etd-01222013-095832 ; https://digitalcommons.lsu.edu/gradschool_theses/2509.

MLA Handbook (7^th Edition):

Carroll, Benjamin Elliott. “Learning and identification of wireless network internode dynamics using software defined radio.” 2012. Web. 11 Dec 2019.

Vancouver:

Carroll BE. Learning and identification of wireless network internode dynamics using software defined radio. [Internet] [Masters thesis]. Louisiana State University; 2012. [cited 2019 Dec 11]. Available from: etd-01222013-095832 ; https://digitalcommons.lsu.edu/gradschool_theses/2509.

Council of Science Editors:

Carroll BE. Learning and identification of wireless network internode dynamics using software defined radio. [Masters Thesis]. Louisiana State University; 2012. Available from: etd-01222013-095832 ; https://digitalcommons.lsu.edu/gradschool_theses/2509

28. Jagbrant, Gustav. Autonomous Crop Segmentation, Characterisation and Localisation.

Degree: The Institute of Technology, 2013, Linköping UniversityLinköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97374

►

Orchards demand large areas of land, thus they are often situated far from major population centres. As a result it is often difficult to… (more)

▼

Orchards demand large areas of land, thus they are often situated far from major population centres. As a result it is often difficult to obtain the necessary personnel, limiting both growth and productivity. However, if autonomous robots could be integrated into the operation of the orchard, the manpower demand could be reduced. A key problem for any autonomous robot is localisation; how does the robot know where it is? In agriculture robots, the most common approach is to use GPS positioning. However, in an orchard environment, the dense and tall vegetation restricts the usage to large robots that reach above the surroundings. In order to enable the use of smaller robots, it is instead necessary to use a GPS independent system. However, due to the similarity of the environment and the lack of strong recognisable features, it appears unlikely that typical non-GPS solutions will prove successful. Therefore we present a GPS independent localisation system, specifically aimed for orchards, that utilises the inherent structure of the surroundings. Furthermore, we examine and individually evaluate three related sub-problems. The proposed system utilises a 3D point cloud created from a 2D LIDAR and the robot’s movement. First, we show how the data can be segmented into individual trees using a Hidden Semi-Markov Model. Second, we introduce a set of descriptors for describing the geometric characteristics of the individual trees. Third, we present a robust localisation method based on Hidden Markov Models. Finally, we propose a method for detecting segmentation errors when associating new tree measurements with previously measured trees. Evaluation shows that the proposed segmentation method is accurate and yields very few segmentation errors. Furthermore, the introduced descriptors are determined to be consistent and informative enough to allow localisation. Third, we show that the presented localisation method is robust both to noise and segmentation errors. Finally it is shown that a significant majority of all segmentation errors can be detected without falsely labeling correct segmentations as incorrect.

Eftersom fruktodlingar kräver stora markområden är de ofta belägna långt från större befolkningscentra. Detta gör det svårt att finna tillräckligt med arbetskraft och begränsar expansionsmöjligheterna. Genom att integrera autonoma robotar i drivandet av odlingarna skulle arbetet kunna effektiviseras och behovet av arbetskraft minska. Ett nyckelproblem för alla autonoma robotar är lokalisering; hur vet roboten var den är? I jordbruksrobotar är standardlösningen att använda GPS-positionering. Detta är dock problematiskt i fruktodlingar, då den höga och täta vegetationen begränsar användandet till större robotar som når ovanför omgivningen. För att möjliggöra användandet av mindre robotar är det istället nödvändigt att använda ett GPS-oberoende lokaliseringssystem. Detta problematiseras dock av den likartade omgivningen och bristen på distinkta riktpunkter, varför det framstår som…

Subjects/Keywords: Orchard; Horticulture; Localisation; Hidden Semi-Markov Model; Hidden Markov Model; Segmentation; 3D Data; 3D Point Cloud; 3D Descriptors

…individual trees using a Hidden Semi-Markov Model. Second, we introduce a set of descriptors for… …Hidden Semi-Markov Model. Furthermore, this method also allows for an a priori estimate of the… …Hidden Semi-Markov Models The Hidden Semi-Markov Model (HSMM) is an extension of the… …9 10 11 12 15 17 18 18 19 20 3 Hidden Semi-Markov Models 3.1 The Viterbi Algorithm… …segment the orchard into individual trees. In order to do so, we utilise the Hidden Semi-Markov…

10 more images…

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jagbrant, G. (2013). Autonomous Crop Segmentation, Characterisation and Localisation. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97374

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jagbrant, Gustav. “Autonomous Crop Segmentation, Characterisation and Localisation.” 2013. Thesis, Linköping UniversityLinköping University. Accessed December 11, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97374.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jagbrant, Gustav. “Autonomous Crop Segmentation, Characterisation and Localisation.” 2013. Web. 11 Dec 2019.

Vancouver:

Jagbrant G. Autonomous Crop Segmentation, Characterisation and Localisation. [Internet] [Thesis]. Linköping UniversityLinköping University; 2013. [cited 2019 Dec 11]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97374.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jagbrant G. Autonomous Crop Segmentation, Characterisation and Localisation. [Thesis]. Linköping UniversityLinköping University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97374

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Chicago

29. Huang, Ziqian. Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.

Degree: 2012, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/9611

► Segmentation refers to the assignment of each consumer to a set of similar consumers. The formation of the sets and the assignments are done simultaneously… (more)

Subjects/Keywords: Segmentation; Finite Mixture Model; Mixture Logit Model; Hidden Markov Model; Quantitative Marketing Model

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Huang, Z. (2012). Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/9611

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Huang, Ziqian. “Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.” 2012. Thesis, University of Illinois – Chicago. Accessed December 11, 2019. http://hdl.handle.net/10027/9611.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Huang, Ziqian. “Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.” 2012. Web. 11 Dec 2019.

Vancouver:

Huang Z. Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10027/9611.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang Z. Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/9611

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Votsi, Irène. Evaluation des risques sismiques par des modèles markoviens cachés et semi-markoviens cachés et de l'estimation de la statistique : Seismic hazard assessment through hidden Markov and semi-Markov modeling and statistical estimation.

Degree: Docteur es, Technologies de l'Information et des Systèmes, 2013, Compiègne; Université Aristote (Thessalonique, Grèce)

URL: http://www.theses.fr/2013COMP2058

► Le premier chapitre présente les axes principaux de recherche ainsi que les problèmes traités dans cette thèse. Plus précisément, il expose une synthèse sur le… (more)

▼ Le premier chapitre présente les axes principaux de recherche ainsi que les problèmes traités dans cette thèse. Plus précisément, il expose une synthèse sur le sujet, en y donnant les propriétés essentielles pour la bonne compréhension de cette étude, accompagnée des références bibliographiques les plus importantes. Il présente également les motivations de ce travail en précisant les contributions originales dans ce domaine. Le deuxième chapitre est composé d’une recherche originale sur l’estimation du risque sismique, dans la zone du nord de la mer Egée (Grèce), en faisant usage de la théorie des processus semi-markoviens à temps continue. Il propose des estimateurs des mesures importantes qui caractérisent les processus semi-markoviens, et fournit une modélisation dela prévision de l’instant de réalisation d’un séisme fort ainsi que la probabilité et la grandeur qui lui sont associées. Les chapitres 3 et 4 comprennent une première tentative de modélisation du processus de génération des séismes au moyen de l’application d’un temps discret des modèles cachés markoviens et semi-markoviens, respectivement. Une méthode d’estimation non paramétrique est appliquée, qui permet de révéler des caractéristiques fondamentales du processus de génération des séismes, difficiles à détecter autrement. Des quantités importantes concernant les niveaux des tensions sont estimées au moyen des modèles proposés. Le chapitre 5 décrit les résultats originaux du présent travail à la théorie des processus stochastiques, c’est- à-dire l’étude et l’estimation du « Intensité du temps d’entrée en temps discret (DTIHT) » pour la première fois dans des chaînes semi-markoviennes et des chaînes de renouvellement markoviennes cachées. Une relation est proposée pour le calcul du DTIHT et un nouvel estimateur est présenté dans chacun de ces cas. De plus, les propriétés asymptotiques des estimateurs proposés sont obtenues, à savoir, la convergence et la normalité asymptotique. Le chapitre 6 procède ensuite à une étude de comparaison entre le modèle markovien caché et le modèle semi-markovien caché dans un milieu markovien et semi-markovien en vue de rechercher d’éventuelles différences dans leur comportement stochastique, déterminé à partir de la matrice de transition de la chaîne de Markov (modèle markovien caché) et de la matrice de transition de la chaîne de Markov immergée (modèle semi-markovien caché). Les résultats originaux concernent le cas général où les distributions sont considérées comme distributions des temps de séjour ainsi que le cas particulier des modèles qui sont applique´s dans les chapitres précédents où les temps de séjour sont estimés de manière non-paramétrique. L’importance de ces différences est spécifiée à l’aide du calcul de la valeur moyenne et de la variance du nombre de sauts de la chaîne de Markov (modèle markovien caché) ou de la chaîne de Markov immergée (modèle semi-markovien caché) pour arriver dans un état donné, pour la première fois. Enfin, le chapitre 7 donne des conclusions générales en soulignant les points… Advisors/Committee Members: Limnios, Nikolaos (thesis director), Tsaklidis, Georgios (thesis director).

Subjects/Keywords: Chaînes de Markov; Systèmes à temps discret; Modélisation; Modèle semi-markovien caché; Modèle Markovien caché; Hidden Markov models; Hidden semi-Markov models; Semi-Markov models; Discrete-time intensity of the hitting time; Stress field; Earthquake forecasting; Seismic hazard; 510

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Votsi, I. (2013). Evaluation des risques sismiques par des modèles markoviens cachés et semi-markoviens cachés et de l'estimation de la statistique : Seismic hazard assessment through hidden Markov and semi-Markov modeling and statistical estimation. (Doctoral Dissertation). Compiègne; Université Aristote (Thessalonique, Grèce). Retrieved from http://www.theses.fr/2013COMP2058

Chicago Manual of Style (16^th Edition):

Votsi, Irène. “Evaluation des risques sismiques par des modèles markoviens cachés et semi-markoviens cachés et de l'estimation de la statistique : Seismic hazard assessment through hidden Markov and semi-Markov modeling and statistical estimation.” 2013. Doctoral Dissertation, Compiègne; Université Aristote (Thessalonique, Grèce). Accessed December 11, 2019. http://www.theses.fr/2013COMP2058.

MLA Handbook (7^th Edition):

Votsi, Irène. “Evaluation des risques sismiques par des modèles markoviens cachés et semi-markoviens cachés et de l'estimation de la statistique : Seismic hazard assessment through hidden Markov and semi-Markov modeling and statistical estimation.” 2013. Web. 11 Dec 2019.

Vancouver:

Votsi I. Evaluation des risques sismiques par des modèles markoviens cachés et semi-markoviens cachés et de l'estimation de la statistique : Seismic hazard assessment through hidden Markov and semi-Markov modeling and statistical estimation. [Internet] [Doctoral dissertation]. Compiègne; Université Aristote (Thessalonique, Grèce); 2013. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2013COMP2058.

Council of Science Editors:

Votsi I. Evaluation des risques sismiques par des modèles markoviens cachés et semi-markoviens cachés et de l'estimation de la statistique : Seismic hazard assessment through hidden Markov and semi-Markov modeling and statistical estimation. [Doctoral Dissertation]. Compiègne; Université Aristote (Thessalonique, Grèce); 2013. Available from: http://www.theses.fr/2013COMP2058

Open Access Theses and Dissertations