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You searched for subject:(Hidden Markov Model). Showing records 1 – 30 of 347 total matches.

[1] [2] [3] [4] [5] … [12]

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Texas A&M University

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

Degree: 2015, Texas A&M University

 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

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

APA (6th 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 (16th Edition):

Wang, Xiduo. “A State Dependent Lane-Changing Model for Urban Arterials with Hidden Markov Model Method.” 2015. Thesis, Texas A&M University. Accessed March 24, 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 (7th Edition):

Wang, Xiduo. “A State Dependent Lane-Changing Model for Urban Arterials with Hidden Markov Model Method.” 2015. Web. 24 Mar 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 Mar 24]. 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


NSYSU

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

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

 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

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APA (6th 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 (16th Edition):

Huang, Yu-Zhi. “Detecting Attack Sequence in Cloud Based on Hidden Markov Model.” 2012. Thesis, NSYSU. Accessed March 24, 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 (7th Edition):

Huang, Yu-Zhi. “Detecting Attack Sequence in Cloud Based on Hidden Markov Model.” 2012. Web. 24 Mar 2019.

Vancouver:

Huang Y. Detecting Attack Sequence in Cloud Based on Hidden Markov Model. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Mar 24]. 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

3. 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

Subjects/Keywords: Hidden Markov model

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APA (6th 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 (16th 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 March 24, 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 (7th 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. 24 Mar 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 Mar 24]. 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

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

Degree: MS, Statistics, 2016, Penn State University

 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

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APA (6th 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 (16th Edition):

Osotsi, Ame J. “Event Detection in Twitter Data: A Hidden Markov Model-Based Change Point Algorithm.” 2016. Masters Thesis, Penn State University. Accessed March 24, 2019. https://etda.libraries.psu.edu/catalog/vm40xr56k.

MLA Handbook (7th Edition):

Osotsi, Ame J. “Event Detection in Twitter Data: A Hidden Markov Model-Based Change Point Algorithm.” 2016. Web. 24 Mar 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 Mar 24]. 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


University of North Texas

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

Degree: 2011, University of North Texas

 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

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APA (6th 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 (16th 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 March 24, 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 (7th Edition):

Saudagar, Abdullah Naseer Ahmed. “Automatic Extraction of Highlights from a Baseball Video Using HMM and MPEG-7 Descriptors.” 2011. Web. 24 Mar 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 Mar 24]. 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


NSYSU

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

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

 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

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APA (6th 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 (16th Edition):

Liu, Lun-Kang. “The Analysis and Forecasting of the Bitcoin Return.” 2018. Thesis, NSYSU. Accessed March 24, 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 (7th Edition):

Liu, Lun-Kang. “The Analysis and Forecasting of the Bitcoin Return.” 2018. Web. 24 Mar 2019.

Vancouver:

Liu L. The Analysis and Forecasting of the Bitcoin Return. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Mar 24]. 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


University of Texas – Austin

7. Chen, Chao-Yeh. Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos.

Degree: Electrical and Computer Engineering, 2010, University of Texas – Austin

 Existing methods for image-based location estimation generally attempt to recognize every photo independently, and their resulting reliance on strong visual feature matches makes them most… (more)

Subjects/Keywords: Location estimation; Hidden Markov Model; Object recognition

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APA (6th Edition):

Chen, C. (2010). Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2301

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

Chicago Manual of Style (16th Edition):

Chen, Chao-Yeh. “Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos.” 2010. Thesis, University of Texas – Austin. Accessed March 24, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2301.

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

MLA Handbook (7th Edition):

Chen, Chao-Yeh. “Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos.” 2010. Web. 24 Mar 2019.

Vancouver:

Chen C. Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2301.

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

Council of Science Editors:

Chen C. Clues from the beaten path : location estimation with bursty sequences of tourist photos: Location estimation with bursty sequences of tourist photos. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2301

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


University of Texas – Austin

8. -6024-5216. Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance.

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

 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)

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

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APA (6th Edition):

-6024-5216. (2018). Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance. (Thesis). 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
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-6024-5216. “Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance.” 2018. Thesis, University of Texas – Austin. Accessed March 24, 2019. http://hdl.handle.net/2152/63715.

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

MLA Handbook (7th Edition):

-6024-5216. “Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance.” 2018. Web. 24 Mar 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] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Mar 24]. 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
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-6024-5216. Uncertainty quantification and its properties for hidden Markov models with application to condition based maintenance. [Thesis]. 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
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

9. Li, Na. Hidden Markov model and financial application.

Degree: Statistics, 2016, University of Texas – Austin

 A Hidden Markov model (HMM) is a statistical model in which the system being modeled is assumed to be a Markov process with numerous unobserved… (more)

Subjects/Keywords: Hidden Markov model; Financial time series

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APA (6th Edition):

Li, N. (2016). Hidden Markov model and financial application. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/47043

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

Chicago Manual of Style (16th Edition):

Li, Na. “Hidden Markov model and financial application.” 2016. Thesis, University of Texas – Austin. Accessed March 24, 2019. http://hdl.handle.net/2152/47043.

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

MLA Handbook (7th Edition):

Li, Na. “Hidden Markov model and financial application.” 2016. Web. 24 Mar 2019.

Vancouver:

Li N. Hidden Markov model and financial application. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/2152/47043.

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

Council of Science Editors:

Li N. Hidden Markov model and financial application. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/47043

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


Virginia Tech

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

Degree: PhD, Computer Science, 2015, Virginia Tech

 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

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

APA (6th 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 (16th Edition):

Liu, Mingming. “Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models.” 2015. Doctoral Dissertation, Virginia Tech. Accessed March 24, 2019. http://hdl.handle.net/10919/73703.

MLA Handbook (7th Edition):

Liu, Mingming. “Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models.” 2015. Web. 24 Mar 2019.

Vancouver:

Liu M. Predicting the Functional Effects of Human Short Variations Using Hidden Markov Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Mar 24]. 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


Anna University

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

Degree: Information and Communication, 2013, Anna University

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)

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

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APA (6th 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 (16th Edition):

R, Jagadeesh Kannan. “Handwritten character recognition using hybrid techniques.” 2013. Thesis, Anna University. Accessed March 24, 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 (7th Edition):

R, Jagadeesh Kannan. “Handwritten character recognition using hybrid techniques.” 2013. Web. 24 Mar 2019.

Vancouver:

R JK. Handwritten character recognition using hybrid techniques. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Mar 24]. 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

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

Degree: PhD, Mechanical Engineering, 2012, Virginia Tech

 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)

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

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APA (6th 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 (16th Edition):

Ali Akbar Soltan, Reza. “Enhancements in Markovian Dynamics.” 2012. Doctoral Dissertation, Virginia Tech. Accessed March 24, 2019. http://hdl.handle.net/10919/77345.

MLA Handbook (7th Edition):

Ali Akbar Soltan, Reza. “Enhancements in Markovian Dynamics.” 2012. Web. 24 Mar 2019.

Vancouver:

Ali Akbar Soltan R. Enhancements in Markovian Dynamics. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Mar 24]. 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

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

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

  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)

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

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APA (6th 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 (16th Edition):

Treinen, James J. “Heuristics For Improved Enterprise Intrusion Detection.” 2009. Doctoral Dissertation, U of Denver. Accessed March 24, 2019. https://digitalcommons.du.edu/etd/657.

MLA Handbook (7th Edition):

Treinen, James J. “Heuristics For Improved Enterprise Intrusion Detection.” 2009. Web. 24 Mar 2019.

Vancouver:

Treinen JJ. Heuristics For Improved Enterprise Intrusion Detection. [Internet] [Doctoral dissertation]. U of Denver; 2009. [cited 2019 Mar 24]. 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


University of Illinois – Chicago

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

Degree: 2012, University of Illinois – Chicago

 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

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

APA (6th 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 (16th Edition):

Huang, Ziqian. “Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.” 2012. Thesis, University of Illinois – Chicago. Accessed March 24, 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 (7th Edition):

Huang, Ziqian. “Segmentation of Financial and Marketing Data: Mixture Logit model and Hidden Markov Model.” 2012. Web. 24 Mar 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 Mar 24]. 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


University of Nevada – Las Vegas

15. Dasu, Nagendra Abhinav. Implementation of hidden semi-Markov models.

Degree: MSin Computer Science, Computer Science, 2011, University of Nevada – Las Vegas

  One of the most frequently used concepts applied to a variety of engineering and scientific studies over the recent years is that of a… (more)

Subjects/Keywords: Abhinav thesis; Computer simulation; Hidden Markov model; Hidden semi-Markov model; HSMM; Implementation of HSMM; Markov processes; Mathematical models; Semi-Markov; Stochastic processes; Applied Mathematics; Computer Sciences; Theory and Algorithms

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

APA (6th Edition):

Dasu, N. A. (2011). Implementation of hidden semi-Markov models. (Masters Thesis). University of Nevada – Las Vegas. Retrieved from https://digitalscholarship.unlv.edu/thesesdissertations/997

Chicago Manual of Style (16th Edition):

Dasu, Nagendra Abhinav. “Implementation of hidden semi-Markov models.” 2011. Masters Thesis, University of Nevada – Las Vegas. Accessed March 24, 2019. https://digitalscholarship.unlv.edu/thesesdissertations/997.

MLA Handbook (7th Edition):

Dasu, Nagendra Abhinav. “Implementation of hidden semi-Markov models.” 2011. Web. 24 Mar 2019.

Vancouver:

Dasu NA. Implementation of hidden semi-Markov models. [Internet] [Masters thesis]. University of Nevada – Las Vegas; 2011. [cited 2019 Mar 24]. Available from: https://digitalscholarship.unlv.edu/thesesdissertations/997.

Council of Science Editors:

Dasu NA. Implementation of hidden semi-Markov models. [Masters Thesis]. University of Nevada – Las Vegas; 2011. Available from: https://digitalscholarship.unlv.edu/thesesdissertations/997


University of Illinois – Urbana-Champaign

16. Khosrowpour, Ardalan. Vision-based workface assessment using depth images for activity analysis of interior construction operations.

Degree: MS, 0106, 2014, University of Illinois – Urbana-Champaign

 Workface assessment –the process of determining the overall activity rates of onsite construction workers throughout a day– typically involves manual visual observations which are time-consuming… (more)

Subjects/Keywords: Activity Analysis; Workface Assessment; RGB-D (RedGreenBlue-Depth) cameras; Hidden Markov ModelActivity analysis; Hidden Markov Model

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

APA (6th Edition):

Khosrowpour, A. (2014). Vision-based workface assessment using depth images for activity analysis of interior construction operations. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46892

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

Chicago Manual of Style (16th Edition):

Khosrowpour, Ardalan. “Vision-based workface assessment using depth images for activity analysis of interior construction operations.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed March 24, 2019. http://hdl.handle.net/2142/46892.

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

MLA Handbook (7th Edition):

Khosrowpour, Ardalan. “Vision-based workface assessment using depth images for activity analysis of interior construction operations.” 2014. Web. 24 Mar 2019.

Vancouver:

Khosrowpour A. Vision-based workface assessment using depth images for activity analysis of interior construction operations. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/2142/46892.

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

Council of Science Editors:

Khosrowpour A. Vision-based workface assessment using depth images for activity analysis of interior construction operations. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46892

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


Georgia Tech

17. Zhu, Wenhan. Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences.

Degree: PhD, Biology, 2010, Georgia Tech

 A metagenome originated from a shotgun sequencing of a microbial community is a heterogeneous mixture of rather short sequences. A vast majority of microbial species… (more)

Subjects/Keywords: Codon usage; Hidden Markov model; Gene prediction; GeneMark; Metagenomics; Gene finding; Markov processes; Genetics

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

APA (6th Edition):

Zhu, W. (2010). Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33869

Chicago Manual of Style (16th Edition):

Zhu, Wenhan. “Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences.” 2010. Doctoral Dissertation, Georgia Tech. Accessed March 24, 2019. http://hdl.handle.net/1853/33869.

MLA Handbook (7th Edition):

Zhu, Wenhan. “Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences.” 2010. Web. 24 Mar 2019.

Vancouver:

Zhu W. Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/1853/33869.

Council of Science Editors:

Zhu W. Improvement of ab initio methods of gene prediction in genomic and metagenomic sequences. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33869

18. Le Corff, Sylvain. Estimations pour les modèles de Markov cachés et approximations particulaires : Application à la cartographie et à la localisation simultanées. : Inference in hidden Markov models and particle approximations - application to the simultaneous localization and mapping problem.

Degree: Docteur es, Signal et Images, 2012, Paris, ENST

Dans cette thèse, nous nous intéressons à l'estimation de paramètres dans les chaînes de Markov cachées. Nous considérons tout d'abord le problème de l'estimation en… (more)

Subjects/Keywords: Modèle de Markov caché; Estimation non-paramétrique; Hidden Markov model; Non-parametric estimation

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

APA (6th Edition):

Le Corff, S. (2012). Estimations pour les modèles de Markov cachés et approximations particulaires : Application à la cartographie et à la localisation simultanées. : Inference in hidden Markov models and particle approximations - application to the simultaneous localization and mapping problem. (Doctoral Dissertation). Paris, ENST. Retrieved from http://www.theses.fr/2012ENST0052

Chicago Manual of Style (16th Edition):

Le Corff, Sylvain. “Estimations pour les modèles de Markov cachés et approximations particulaires : Application à la cartographie et à la localisation simultanées. : Inference in hidden Markov models and particle approximations - application to the simultaneous localization and mapping problem.” 2012. Doctoral Dissertation, Paris, ENST. Accessed March 24, 2019. http://www.theses.fr/2012ENST0052.

MLA Handbook (7th Edition):

Le Corff, Sylvain. “Estimations pour les modèles de Markov cachés et approximations particulaires : Application à la cartographie et à la localisation simultanées. : Inference in hidden Markov models and particle approximations - application to the simultaneous localization and mapping problem.” 2012. Web. 24 Mar 2019.

Vancouver:

Le Corff S. Estimations pour les modèles de Markov cachés et approximations particulaires : Application à la cartographie et à la localisation simultanées. : Inference in hidden Markov models and particle approximations - application to the simultaneous localization and mapping problem. [Internet] [Doctoral dissertation]. Paris, ENST; 2012. [cited 2019 Mar 24]. Available from: http://www.theses.fr/2012ENST0052.

Council of Science Editors:

Le Corff S. Estimations pour les modèles de Markov cachés et approximations particulaires : Application à la cartographie et à la localisation simultanées. : Inference in hidden Markov models and particle approximations - application to the simultaneous localization and mapping problem. [Doctoral Dissertation]. Paris, ENST; 2012. Available from: http://www.theses.fr/2012ENST0052

19. Khemiri, Houssemeddine. Approche générique appliquée à l'indexation audio par modélisation non supervisée : Unified data-driven approach for audio indexing, retrieval and recognition.

Degree: Docteur es, Signal et images, 2013, Paris, ENST

La quantité de données audio disponibles, telles que les enregistrements radio, la musique, les podcasts et les publicités est en augmentation constance. Par contre, il… (more)

Subjects/Keywords: Signal audio; Modèle de Markov caché; ALISP segmentation; Audio signal; Hidden Markov model; Segmentation ALISP

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

APA (6th Edition):

Khemiri, H. (2013). Approche générique appliquée à l'indexation audio par modélisation non supervisée : Unified data-driven approach for audio indexing, retrieval and recognition. (Doctoral Dissertation). Paris, ENST. Retrieved from http://www.theses.fr/2013ENST0055

Chicago Manual of Style (16th Edition):

Khemiri, Houssemeddine. “Approche générique appliquée à l'indexation audio par modélisation non supervisée : Unified data-driven approach for audio indexing, retrieval and recognition.” 2013. Doctoral Dissertation, Paris, ENST. Accessed March 24, 2019. http://www.theses.fr/2013ENST0055.

MLA Handbook (7th Edition):

Khemiri, Houssemeddine. “Approche générique appliquée à l'indexation audio par modélisation non supervisée : Unified data-driven approach for audio indexing, retrieval and recognition.” 2013. Web. 24 Mar 2019.

Vancouver:

Khemiri H. Approche générique appliquée à l'indexation audio par modélisation non supervisée : Unified data-driven approach for audio indexing, retrieval and recognition. [Internet] [Doctoral dissertation]. Paris, ENST; 2013. [cited 2019 Mar 24]. Available from: http://www.theses.fr/2013ENST0055.

Council of Science Editors:

Khemiri H. Approche générique appliquée à l'indexation audio par modélisation non supervisée : Unified data-driven approach for audio indexing, retrieval and recognition. [Doctoral Dissertation]. Paris, ENST; 2013. Available from: http://www.theses.fr/2013ENST0055


University of Waterloo

20. Raffa, Jesse Daniel. Multivariate Longitudinal Data Analysis with Mixed Effects Hidden Markov Models.

Degree: 2013, University of Waterloo

 Longitudinal studies, where data on study subjects are collected over time, is increasingly involving multivariate longitudinal responses. Frequently, the heterogeneity observed in a multivariate longitudinal… (more)

Subjects/Keywords: multivariate longitudinal data; hidden markov model; random effects; Markov chain monte carlo

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APA (6th Edition):

Raffa, J. D. (2013). Multivariate Longitudinal Data Analysis with Mixed Effects Hidden Markov Models. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7255

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

Chicago Manual of Style (16th Edition):

Raffa, Jesse Daniel. “Multivariate Longitudinal Data Analysis with Mixed Effects Hidden Markov Models.” 2013. Thesis, University of Waterloo. Accessed March 24, 2019. http://hdl.handle.net/10012/7255.

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

MLA Handbook (7th Edition):

Raffa, Jesse Daniel. “Multivariate Longitudinal Data Analysis with Mixed Effects Hidden Markov Models.” 2013. Web. 24 Mar 2019.

Vancouver:

Raffa JD. Multivariate Longitudinal Data Analysis with Mixed Effects Hidden Markov Models. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/10012/7255.

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

Council of Science Editors:

Raffa JD. Multivariate Longitudinal Data Analysis with Mixed Effects Hidden Markov Models. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7255

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


George Mason University

21. Nguyen, Thao Tran Nhu. Hidden Markov model based spectrum sensing for cognitive radio .

Degree: 2013, George Mason University

 Cognitive radio is an emerging technology for sensing and opportunistic spectrum access in wireless communication networks. It allows a secondary user to detect under-utilized spectrum… (more)

Subjects/Keywords: Engineering; Baum algorithm; Bivariate Markov chain; Cognitive radio; Hidden Markov model; Spectrum Sensing

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

APA (6th Edition):

Nguyen, T. T. N. (2013). Hidden Markov model based spectrum sensing for cognitive radio . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/8288

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

Chicago Manual of Style (16th Edition):

Nguyen, Thao Tran Nhu. “Hidden Markov model based spectrum sensing for cognitive radio .” 2013. Thesis, George Mason University. Accessed March 24, 2019. http://hdl.handle.net/1920/8288.

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

MLA Handbook (7th Edition):

Nguyen, Thao Tran Nhu. “Hidden Markov model based spectrum sensing for cognitive radio .” 2013. Web. 24 Mar 2019.

Vancouver:

Nguyen TTN. Hidden Markov model based spectrum sensing for cognitive radio . [Internet] [Thesis]. George Mason University; 2013. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/1920/8288.

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

Council of Science Editors:

Nguyen TTN. Hidden Markov model based spectrum sensing for cognitive radio . [Thesis]. George Mason University; 2013. Available from: http://hdl.handle.net/1920/8288

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


University of Illinois – Urbana-Champaign

22. Baharian Khoshkhou, Golshid. Stochastic sequential assignment problem.

Degree: PhD, 0127, 2014, University of Illinois – Urbana-Champaign

 The stochastic sequential assignment problem (SSAP) studies the allocation of available distinct workers with deterministic values to sequentially-arriving tasks with stochastic parameters so as to… (more)

Subjects/Keywords: sequential assignment; Markov decision process; stationary policy; hidden Markov model; threshold criteria; risk measure

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APA (6th Edition):

Baharian Khoshkhou, G. (2014). Stochastic sequential assignment problem. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50503

Chicago Manual of Style (16th Edition):

Baharian Khoshkhou, Golshid. “Stochastic sequential assignment problem.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 24, 2019. http://hdl.handle.net/2142/50503.

MLA Handbook (7th Edition):

Baharian Khoshkhou, Golshid. “Stochastic sequential assignment problem.” 2014. Web. 24 Mar 2019.

Vancouver:

Baharian Khoshkhou G. Stochastic sequential assignment problem. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/2142/50503.

Council of Science Editors:

Baharian Khoshkhou G. Stochastic sequential assignment problem. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50503


University of New Orleans

23. Baribault, Carl. Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification.

Degree: PhD, Computer Science, 2009, University of New Orleans

 Using a generalized-clique hidden Markov model (HMM) as the starting point for a eukaryotic gene finder, the objective here is to strengthen the signal information… (more)

Subjects/Keywords: hidden Markov model; HMM; GHMM; gene finding; gene prediction

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

APA (6th Edition):

Baribault, C. (2009). Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1098

Chicago Manual of Style (16th Edition):

Baribault, Carl. “Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification.” 2009. Doctoral Dissertation, University of New Orleans. Accessed March 24, 2019. https://scholarworks.uno.edu/td/1098.

MLA Handbook (7th Edition):

Baribault, Carl. “Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification.” 2009. Web. 24 Mar 2019.

Vancouver:

Baribault C. Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification. [Internet] [Doctoral dissertation]. University of New Orleans; 2009. [cited 2019 Mar 24]. Available from: https://scholarworks.uno.edu/td/1098.

Council of Science Editors:

Baribault C. Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification. [Doctoral Dissertation]. University of New Orleans; 2009. Available from: https://scholarworks.uno.edu/td/1098


University of Alberta

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

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

 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

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

APA (6th 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 (16th Edition):

Hladky, Stephen Michael. “Predicting opponent locations in first-person shooter video games.” 2009. Masters Thesis, University of Alberta. Accessed March 24, 2019. https://era.library.ualberta.ca/files/5x21tg037.

MLA Handbook (7th Edition):

Hladky, Stephen Michael. “Predicting opponent locations in first-person shooter video games.” 2009. Web. 24 Mar 2019.

Vancouver:

Hladky SM. Predicting opponent locations in first-person shooter video games. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2019 Mar 24]. 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


University of Kansas

25. Senf, Alexander J. A MACHINE LEARNING APPROACH TO QUERY TIME-SERIES MICROARRAY DATA SETS FOR FUNCTIONALLY RELATED GENES USING HIDDEN MARKOV MODELS.

Degree: PhD, Electrical Engineering & Computer Science, 2011, University of Kansas

 Microarray technology captures the rate of expression of genes under varying experimental conditions. Genes encode the information necessary to build proteins; proteins used by cellular… (more)

Subjects/Keywords: Bioinformatics; Computer science; Hidden Markov model; Hmm; Machine learning; Microarray

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APA (6th Edition):

Senf, A. J. (2011). A MACHINE LEARNING APPROACH TO QUERY TIME-SERIES MICROARRAY DATA SETS FOR FUNCTIONALLY RELATED GENES USING HIDDEN MARKOV MODELS. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/7639

Chicago Manual of Style (16th Edition):

Senf, Alexander J. “A MACHINE LEARNING APPROACH TO QUERY TIME-SERIES MICROARRAY DATA SETS FOR FUNCTIONALLY RELATED GENES USING HIDDEN MARKOV MODELS.” 2011. Doctoral Dissertation, University of Kansas. Accessed March 24, 2019. http://hdl.handle.net/1808/7639.

MLA Handbook (7th Edition):

Senf, Alexander J. “A MACHINE LEARNING APPROACH TO QUERY TIME-SERIES MICROARRAY DATA SETS FOR FUNCTIONALLY RELATED GENES USING HIDDEN MARKOV MODELS.” 2011. Web. 24 Mar 2019.

Vancouver:

Senf AJ. A MACHINE LEARNING APPROACH TO QUERY TIME-SERIES MICROARRAY DATA SETS FOR FUNCTIONALLY RELATED GENES USING HIDDEN MARKOV MODELS. [Internet] [Doctoral dissertation]. University of Kansas; 2011. [cited 2019 Mar 24]. Available from: http://hdl.handle.net/1808/7639.

Council of Science Editors:

Senf AJ. A MACHINE LEARNING APPROACH TO QUERY TIME-SERIES MICROARRAY DATA SETS FOR FUNCTIONALLY RELATED GENES USING HIDDEN MARKOV MODELS. [Doctoral Dissertation]. University of Kansas; 2011. Available from: http://hdl.handle.net/1808/7639


Univerzitet u Beogradu

26. Kisić, Emilija A. 1984-. Primena T2 kontrolnih dijagrama i skrivenih Markovljevih modela na prediktivno održavanje tehničkih sistema.

Degree: Elektrotehnički fakultet, 2016, Univerzitet u Beogradu

Elektrotehnika i računarstvo - Upravljanje sistemima i obrada signala /Electrical and Computer Engineering - System control and signal processing

U današnjoj industriji primena najboljih strategija… (more)

Subjects/Keywords: Predictive maintenance. T2 control chart. Hidden Markov Model. Acoustic signals

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APA (6th Edition):

Kisić, E. A. 1. (2016). Primena T2 kontrolnih dijagrama i skrivenih Markovljevih modela na prediktivno održavanje tehničkih sistema. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:12044/bdef:Content/get

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

Chicago Manual of Style (16th Edition):

Kisić, Emilija A 1984-. “Primena T2 kontrolnih dijagrama i skrivenih Markovljevih modela na prediktivno održavanje tehničkih sistema.” 2016. Thesis, Univerzitet u Beogradu. Accessed March 24, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:12044/bdef:Content/get.

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

MLA Handbook (7th Edition):

Kisić, Emilija A 1984-. “Primena T2 kontrolnih dijagrama i skrivenih Markovljevih modela na prediktivno održavanje tehničkih sistema.” 2016. Web. 24 Mar 2019.

Vancouver:

Kisić EA1. Primena T2 kontrolnih dijagrama i skrivenih Markovljevih modela na prediktivno održavanje tehničkih sistema. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2019 Mar 24]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12044/bdef:Content/get.

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

Council of Science Editors:

Kisić EA1. Primena T2 kontrolnih dijagrama i skrivenih Markovljevih modela na prediktivno održavanje tehničkih sistema. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12044/bdef:Content/get

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


Univerzitet u Beogradu

27. Bujaković, Dimitrije M. 1980-. Експертски систем за праћење и препознавање циљева у окружењу извиђачких радара.

Degree: Elektrotehnički fakultet, 2016, Univerzitet u Beogradu

Електротехника и рачунарство-Управљање системима и обрада сигнала / Electrical and Computer Engineering-System control and signal processing

Један од најзначајнијих процеса у војним применама је процена ситуације...

Advisors/Committee Members: Đurović, Željko. 1964-.

Subjects/Keywords: Classification; ground surveillance radar; hidden Markov chains; autoregressive process model

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APA (6th Edition):

Bujaković, D. M. 1. (2016). Експертски систем за праћење и препознавање циљева у окружењу извиђачких радара. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:12194/bdef:Content/get

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

Chicago Manual of Style (16th Edition):

Bujaković, Dimitrije M 1980-. “Експертски систем за праћење и препознавање циљева у окружењу извиђачких радара.” 2016. Thesis, Univerzitet u Beogradu. Accessed March 24, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:12194/bdef:Content/get.

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

MLA Handbook (7th Edition):

Bujaković, Dimitrije M 1980-. “Експертски систем за праћење и препознавање циљева у окружењу извиђачких радара.” 2016. Web. 24 Mar 2019.

Vancouver:

Bujaković DM1. Експертски систем за праћење и препознавање циљева у окружењу извиђачких радара. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2019 Mar 24]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12194/bdef:Content/get.

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

Council of Science Editors:

Bujaković DM1. Експертски систем за праћење и препознавање циљева у окружењу извиђачких радара. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12194/bdef:Content/get

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


University of Cincinnati

28. Jin, Chao. A Sequential Process Monitoring Approach using Hidden Markov Model for Unobservable Process Drift.

Degree: MS, Engineering and Applied Science: Mechanical Engineering, 2015, University of Cincinnati

 In the field of prognostics and health management, process monitoring is an essential technique to equip the system with the intelligence of being “aware” of… (more)

Subjects/Keywords: Mechanics; process monitoring; hidden Markov model; fault detection

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

APA (6th Edition):

Jin, C. (2015). A Sequential Process Monitoring Approach using Hidden Markov Model for Unobservable Process Drift. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445341969

Chicago Manual of Style (16th Edition):

Jin, Chao. “A Sequential Process Monitoring Approach using Hidden Markov Model for Unobservable Process Drift.” 2015. Masters Thesis, University of Cincinnati. Accessed March 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445341969.

MLA Handbook (7th Edition):

Jin, Chao. “A Sequential Process Monitoring Approach using Hidden Markov Model for Unobservable Process Drift.” 2015. Web. 24 Mar 2019.

Vancouver:

Jin C. A Sequential Process Monitoring Approach using Hidden Markov Model for Unobservable Process Drift. [Internet] [Masters thesis]. University of Cincinnati; 2015. [cited 2019 Mar 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445341969.

Council of Science Editors:

Jin C. A Sequential Process Monitoring Approach using Hidden Markov Model for Unobservable Process Drift. [Masters Thesis]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445341969


Penn State University

29. Bardakci, Ibrahim Ekrem. Approximate Realization of Hidden Markov Models.

Degree: MS, Electrical Engineering, 2014, Penn State University

 The realization problem for hidden Markov models (HMMs) has been studied over years. However, it does not always have solution and requires the exact string… (more)

Subjects/Keywords: Hidden Markov Model; Approximate Realization; Hankel Matrix; Nuclear Norm

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

APA (6th Edition):

Bardakci, I. E. (2014). Approximate Realization of Hidden Markov Models. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/23697

Chicago Manual of Style (16th Edition):

Bardakci, Ibrahim Ekrem. “Approximate Realization of Hidden Markov Models.” 2014. Masters Thesis, Penn State University. Accessed March 24, 2019. https://etda.libraries.psu.edu/catalog/23697.

MLA Handbook (7th Edition):

Bardakci, Ibrahim Ekrem. “Approximate Realization of Hidden Markov Models.” 2014. Web. 24 Mar 2019.

Vancouver:

Bardakci IE. Approximate Realization of Hidden Markov Models. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Mar 24]. Available from: https://etda.libraries.psu.edu/catalog/23697.

Council of Science Editors:

Bardakci IE. Approximate Realization of Hidden Markov Models. [Masters Thesis]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/23697


Clemson University

30. Bryfczynski, Samuel. BeSocratic: An Intelligent Tutoring System for the Recognition, Evaluation, and Analysis of Free-form Student Input.

Degree: PhD, Computer Science, 2012, Clemson University

  This dissertation describes a novel intelligent tutoring system, BeSocratic, which aims to help fill the gap between simple multiple-choice systems and free-response systems. BeSocratic… (more)

Subjects/Keywords: Assessment; Hidden Markov Model; Intelligent Tutor; Visualization; Education

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

APA (6th Edition):

Bryfczynski, S. (2012). BeSocratic: An Intelligent Tutoring System for the Recognition, Evaluation, and Analysis of Free-form Student Input. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1053

Chicago Manual of Style (16th Edition):

Bryfczynski, Samuel. “BeSocratic: An Intelligent Tutoring System for the Recognition, Evaluation, and Analysis of Free-form Student Input.” 2012. Doctoral Dissertation, Clemson University. Accessed March 24, 2019. https://tigerprints.clemson.edu/all_dissertations/1053.

MLA Handbook (7th Edition):

Bryfczynski, Samuel. “BeSocratic: An Intelligent Tutoring System for the Recognition, Evaluation, and Analysis of Free-form Student Input.” 2012. Web. 24 Mar 2019.

Vancouver:

Bryfczynski S. BeSocratic: An Intelligent Tutoring System for the Recognition, Evaluation, and Analysis of Free-form Student Input. [Internet] [Doctoral dissertation]. Clemson University; 2012. [cited 2019 Mar 24]. Available from: https://tigerprints.clemson.edu/all_dissertations/1053.

Council of Science Editors:

Bryfczynski S. BeSocratic: An Intelligent Tutoring System for the Recognition, Evaluation, and Analysis of Free-form Student Input. [Doctoral Dissertation]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_dissertations/1053

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