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You searched for subject:( adaptive aggregation). Showing records 1 – 12 of 12 total matches.

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Brunel University

1. Skordoulis, Dionysios. Design and optimization of QoS-based medium access control protocols for next-generation wireless LANs.

Degree: PhD, 2013, Brunel University

 In recent years, there have been tremendous advances in wireless & mobile communications, including wireless radio techniques, networking protocols, and mobile devices. It is expected… (more)

Subjects/Keywords: 621.382; Delayed channel-access; IEEE 802.11n; Adaptive DCA; Selective DCA; Frame aggregation - Analysis and simulations

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APA (6th Edition):

Skordoulis, D. (2013). Design and optimization of QoS-based medium access control protocols for next-generation wireless LANs. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7375 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569690

Chicago Manual of Style (16th Edition):

Skordoulis, Dionysios. “Design and optimization of QoS-based medium access control protocols for next-generation wireless LANs.” 2013. Doctoral Dissertation, Brunel University. Accessed September 23, 2019. http://bura.brunel.ac.uk/handle/2438/7375 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569690.

MLA Handbook (7th Edition):

Skordoulis, Dionysios. “Design and optimization of QoS-based medium access control protocols for next-generation wireless LANs.” 2013. Web. 23 Sep 2019.

Vancouver:

Skordoulis D. Design and optimization of QoS-based medium access control protocols for next-generation wireless LANs. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2019 Sep 23]. Available from: http://bura.brunel.ac.uk/handle/2438/7375 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569690.

Council of Science Editors:

Skordoulis D. Design and optimization of QoS-based medium access control protocols for next-generation wireless LANs. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/7375 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569690

2. Gao, Xi. Eliciting and Aggregating Truthful and Noisy Information.

Degree: PhD, Engineering and Applied Sciences, 2014, Harvard University

 In the modern world, making informed decisions requires obtaining and aggregating relevant information about events of interest. For many political, business, and entertainment events, the… (more)

Subjects/Keywords: Computer science; adaptive polling; information aggregation; information elicitation; peer prediction; prediction market

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APA (6th Edition):

Gao, X. (2014). Eliciting and Aggregating Truthful and Noisy Information. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:13067680

Chicago Manual of Style (16th Edition):

Gao, Xi. “Eliciting and Aggregating Truthful and Noisy Information.” 2014. Doctoral Dissertation, Harvard University. Accessed September 23, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13067680.

MLA Handbook (7th Edition):

Gao, Xi. “Eliciting and Aggregating Truthful and Noisy Information.” 2014. Web. 23 Sep 2019.

Vancouver:

Gao X. Eliciting and Aggregating Truthful and Noisy Information. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2019 Sep 23]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13067680.

Council of Science Editors:

Gao X. Eliciting and Aggregating Truthful and Noisy Information. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13067680

3. Musetescu, A. RE_MOVE: A Biomimetics inspired movable habitat structure for research and exploration purposes:.

Degree: 2014, Delft University of Technology

 The aim of the project is to elaborate upon performance driven design experiments for habitation and production facilities on Mars. The premises for the project… (more)

Subjects/Keywords: space; adaptive; mars; movable system; cellular aggregation

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APA (6th Edition):

Musetescu, A. (2014). RE_MOVE: A Biomimetics inspired movable habitat structure for research and exploration purposes:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:29d534f4-f86b-491b-a439-b0133ca0e701

Chicago Manual of Style (16th Edition):

Musetescu, A. “RE_MOVE: A Biomimetics inspired movable habitat structure for research and exploration purposes:.” 2014. Masters Thesis, Delft University of Technology. Accessed September 23, 2019. http://resolver.tudelft.nl/uuid:29d534f4-f86b-491b-a439-b0133ca0e701.

MLA Handbook (7th Edition):

Musetescu, A. “RE_MOVE: A Biomimetics inspired movable habitat structure for research and exploration purposes:.” 2014. Web. 23 Sep 2019.

Vancouver:

Musetescu A. RE_MOVE: A Biomimetics inspired movable habitat structure for research and exploration purposes:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2019 Sep 23]. Available from: http://resolver.tudelft.nl/uuid:29d534f4-f86b-491b-a439-b0133ca0e701.

Council of Science Editors:

Musetescu A. RE_MOVE: A Biomimetics inspired movable habitat structure for research and exploration purposes:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:29d534f4-f86b-491b-a439-b0133ca0e701


Brno University of Technology

4. Andriushchenko, Roman. Aproximativní techniky pro Markovovy modely .

Degree: 2018, Brno University of Technology

 Předkládaná práce je zaměřena na popis aproximativních technik pro analýzu Markovských řetězců, konkrétně na metody založené na agregaci nebo ořezávání stavového prostoru. Na začátku je… (more)

Subjects/Keywords: Markovovy modely; probabilistický model checking; aproximativní techniky; adaptivní agregace; Markov models; probabilistic model checking; approximation techniques; adaptive aggregation

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APA (6th Edition):

Andriushchenko, R. (2018). Aproximativní techniky pro Markovovy modely . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/85098

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):

Andriushchenko, Roman. “Aproximativní techniky pro Markovovy modely .” 2018. Thesis, Brno University of Technology. Accessed September 23, 2019. http://hdl.handle.net/11012/85098.

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

MLA Handbook (7th Edition):

Andriushchenko, Roman. “Aproximativní techniky pro Markovovy modely .” 2018. Web. 23 Sep 2019.

Vancouver:

Andriushchenko R. Aproximativní techniky pro Markovovy modely . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/11012/85098.

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

Council of Science Editors:

Andriushchenko R. Aproximativní techniky pro Markovovy modely . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/85098

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


University of Plymouth

5. Swientek, Martin. High-performance near-time processing of bulk data.

Degree: PhD, 2015, University of Plymouth

 Enterprise Systems like customer-billing systems or financial transaction systems are required to process large volumes of data in a fixed period of time. Those systems… (more)

Subjects/Keywords: 004; Adaptive Middleware; Message Aggregation; Batch Processing; Message-Based Processing; Messaging; Throughput; End-to-End Latency; Near-Time Processing; Performance Evaluation; Feedback-Control

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APA (6th Edition):

Swientek, M. (2015). High-performance near-time processing of bulk data. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/3461

Chicago Manual of Style (16th Edition):

Swientek, Martin. “High-performance near-time processing of bulk data.” 2015. Doctoral Dissertation, University of Plymouth. Accessed September 23, 2019. http://hdl.handle.net/10026.1/3461.

MLA Handbook (7th Edition):

Swientek, Martin. “High-performance near-time processing of bulk data.” 2015. Web. 23 Sep 2019.

Vancouver:

Swientek M. High-performance near-time processing of bulk data. [Internet] [Doctoral dissertation]. University of Plymouth; 2015. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/10026.1/3461.

Council of Science Editors:

Swientek M. High-performance near-time processing of bulk data. [Doctoral Dissertation]. University of Plymouth; 2015. Available from: http://hdl.handle.net/10026.1/3461


University of Lund

6. Gangarajaiah, Rakesh. Adaptive Baseband Pro cessing and Configurable Hardware for Wireless Communication.

Degree: 2017, University of Lund

 The world of information is literally at one’s fingertips, allowing access to previously unimaginable amounts of data, thanks to advances in wireless communication. The growing… (more)

Subjects/Keywords: Teknik och teknologier; Wireless receivers, baseband processing, LTE-A, MIMO, OFDM, carrier aggregation, channel preprocessing, adaptive signal processing, non-linearity mitigation, massive MIMO

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APA (6th Edition):

Gangarajaiah, R. (2017). Adaptive Baseband Pro cessing and Configurable Hardware for Wireless Communication. (Doctoral Dissertation). University of Lund. Retrieved from http://lup.lub.lu.se/record/281a538d-0b27-47fe-8f43-19136d04d990 ; http://portal.research.lu.se/ws/files/21969193/Final_print_check_thesis.pdf

Chicago Manual of Style (16th Edition):

Gangarajaiah, Rakesh. “Adaptive Baseband Pro cessing and Configurable Hardware for Wireless Communication.” 2017. Doctoral Dissertation, University of Lund. Accessed September 23, 2019. http://lup.lub.lu.se/record/281a538d-0b27-47fe-8f43-19136d04d990 ; http://portal.research.lu.se/ws/files/21969193/Final_print_check_thesis.pdf.

MLA Handbook (7th Edition):

Gangarajaiah, Rakesh. “Adaptive Baseband Pro cessing and Configurable Hardware for Wireless Communication.” 2017. Web. 23 Sep 2019.

Vancouver:

Gangarajaiah R. Adaptive Baseband Pro cessing and Configurable Hardware for Wireless Communication. [Internet] [Doctoral dissertation]. University of Lund; 2017. [cited 2019 Sep 23]. Available from: http://lup.lub.lu.se/record/281a538d-0b27-47fe-8f43-19136d04d990 ; http://portal.research.lu.se/ws/files/21969193/Final_print_check_thesis.pdf.

Council of Science Editors:

Gangarajaiah R. Adaptive Baseband Pro cessing and Configurable Hardware for Wireless Communication. [Doctoral Dissertation]. University of Lund; 2017. Available from: http://lup.lub.lu.se/record/281a538d-0b27-47fe-8f43-19136d04d990 ; http://portal.research.lu.se/ws/files/21969193/Final_print_check_thesis.pdf

7. Yang, Shengyun. Information Aggregation Efficiency of Prediction Markets.

Degree: 2014, Erasmus University

 markdownabstract__Abstract__ The increased complexity of the business environment, such as globalization of the market, faster introduction of new products, more interdependencies among firms and financial… (more)

Subjects/Keywords: adaptive learning; dynamic interaction; forecasting; information aggregation; information transparency; market efficiency; prediction market

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APA (6th Edition):

Yang, S. (2014). Information Aggregation Efficiency of Prediction Markets. (Doctoral Dissertation). Erasmus University. Retrieved from http://hdl.handle.net/1765/77184

Chicago Manual of Style (16th Edition):

Yang, Shengyun. “Information Aggregation Efficiency of Prediction Markets.” 2014. Doctoral Dissertation, Erasmus University. Accessed September 23, 2019. http://hdl.handle.net/1765/77184.

MLA Handbook (7th Edition):

Yang, Shengyun. “Information Aggregation Efficiency of Prediction Markets.” 2014. Web. 23 Sep 2019.

Vancouver:

Yang S. Information Aggregation Efficiency of Prediction Markets. [Internet] [Doctoral dissertation]. Erasmus University; 2014. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1765/77184.

Council of Science Editors:

Yang S. Information Aggregation Efficiency of Prediction Markets. [Doctoral Dissertation]. Erasmus University; 2014. Available from: http://hdl.handle.net/1765/77184

8. Medlej, Maguy. Big data management for periodic wireless sensor networks : Gestion de données volumineuses dans les réseaux de capteurs périodiques.

Degree: Docteur es, Informatique, 2014, Besançon

Les recherches présentées dans ce mémoire s’inscrivent dans le cadre des réseaux decapteurs périodiques. Elles portent sur l’étude et la mise en oeuvre d’algorithmes et… (more)

Subjects/Keywords: Réseaux de capteurs périodiques,; Collecte adaptative de données; Agrégation de données; Filtrage par préfixe; Fonction de similarité; Fouille de données; K-Means; Periodic sensor networks,; Adaptive sampling approach; Bezier Curve; Treebased data aggregation; Similar sets; Prefix frequency filtering; Data mining; K-Means; 004.6

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APA (6th Edition):

Medlej, M. (2014). Big data management for periodic wireless sensor networks : Gestion de données volumineuses dans les réseaux de capteurs périodiques. (Doctoral Dissertation). Besançon. Retrieved from http://www.theses.fr/2014BESA2029

Chicago Manual of Style (16th Edition):

Medlej, Maguy. “Big data management for periodic wireless sensor networks : Gestion de données volumineuses dans les réseaux de capteurs périodiques.” 2014. Doctoral Dissertation, Besançon. Accessed September 23, 2019. http://www.theses.fr/2014BESA2029.

MLA Handbook (7th Edition):

Medlej, Maguy. “Big data management for periodic wireless sensor networks : Gestion de données volumineuses dans les réseaux de capteurs périodiques.” 2014. Web. 23 Sep 2019.

Vancouver:

Medlej M. Big data management for periodic wireless sensor networks : Gestion de données volumineuses dans les réseaux de capteurs périodiques. [Internet] [Doctoral dissertation]. Besançon; 2014. [cited 2019 Sep 23]. Available from: http://www.theses.fr/2014BESA2029.

Council of Science Editors:

Medlej M. Big data management for periodic wireless sensor networks : Gestion de données volumineuses dans les réseaux de capteurs périodiques. [Doctoral Dissertation]. Besançon; 2014. Available from: http://www.theses.fr/2014BESA2029


Vrije Universiteit Amsterdam

9. Bruggeman, J. Succession in plankton communities : A trait-based perspective .

Degree: 2009, Vrije Universiteit Amsterdam

Subjects/Keywords: Succession in plankton communities: a trait-based perspective; plankton; succession; adaptation; complex adaptive systems; hydrodynamics; models; aggregation; traits; trade-offs

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APA (6th Edition):

Bruggeman, J. (2009). Succession in plankton communities : A trait-based perspective . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/17773

Chicago Manual of Style (16th Edition):

Bruggeman, J. “Succession in plankton communities : A trait-based perspective .” 2009. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed September 23, 2019. http://hdl.handle.net/1871/17773.

MLA Handbook (7th Edition):

Bruggeman, J. “Succession in plankton communities : A trait-based perspective .” 2009. Web. 23 Sep 2019.

Vancouver:

Bruggeman J. Succession in plankton communities : A trait-based perspective . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2009. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1871/17773.

Council of Science Editors:

Bruggeman J. Succession in plankton communities : A trait-based perspective . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2009. Available from: http://hdl.handle.net/1871/17773

10. Sànchez Pérez, Andrés. Agrégation de prédicteurs pour des séries temporelles, optimalité dans un contexte localement stationnaire : Aggregation of time series predictors, optimality in a locally stationary context.

Degree: Docteur es, Signal et images, 2015, Paris, ENST

Cette thèse regroupe nos résultats sur la prédiction de séries temporelles dépendantes. Le document comporte trois chapitres principaux où nous abordons des problèmes différents. Le… (more)

Subjects/Keywords: Séries temporelles non stationnaires; Décalage de Bernoulli; Processus autorégressifs vaiables dans le temps; Agrégation à poids exponentiels; Apprentissage en ligne; Prédiction adaptative; Non-stationary time series; Bernoulli shift; Time varying autoregressive processes; Exponential weighted aggregation; Online learning; Adaptive prediction

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APA (6th Edition):

Sànchez Pérez, A. (2015). Agrégation de prédicteurs pour des séries temporelles, optimalité dans un contexte localement stationnaire : Aggregation of time series predictors, optimality in a locally stationary context. (Doctoral Dissertation). Paris, ENST. Retrieved from http://www.theses.fr/2015ENST0051

Chicago Manual of Style (16th Edition):

Sànchez Pérez, Andrés. “Agrégation de prédicteurs pour des séries temporelles, optimalité dans un contexte localement stationnaire : Aggregation of time series predictors, optimality in a locally stationary context.” 2015. Doctoral Dissertation, Paris, ENST. Accessed September 23, 2019. http://www.theses.fr/2015ENST0051.

MLA Handbook (7th Edition):

Sànchez Pérez, Andrés. “Agrégation de prédicteurs pour des séries temporelles, optimalité dans un contexte localement stationnaire : Aggregation of time series predictors, optimality in a locally stationary context.” 2015. Web. 23 Sep 2019.

Vancouver:

Sànchez Pérez A. Agrégation de prédicteurs pour des séries temporelles, optimalité dans un contexte localement stationnaire : Aggregation of time series predictors, optimality in a locally stationary context. [Internet] [Doctoral dissertation]. Paris, ENST; 2015. [cited 2019 Sep 23]. Available from: http://www.theses.fr/2015ENST0051.

Council of Science Editors:

Sànchez Pérez A. Agrégation de prédicteurs pour des séries temporelles, optimalité dans un contexte localement stationnaire : Aggregation of time series predictors, optimality in a locally stationary context. [Doctoral Dissertation]. Paris, ENST; 2015. Available from: http://www.theses.fr/2015ENST0051

11. Wang, Zhan. Minimax estimation and model identification for high-dimensional regression.

Degree: PhD, Statistics, 2012, University of Minnesota

 This dissertation consists of two parts. In Part I, adaptive minimax estimation over sparse `q-hulls is studied. Given a dictionary of Mn initial estimates of… (more)

Subjects/Keywords: Adaptive estimation; Aggregation; Linear combining; Minimax risk; Model selection; Sparsity constraint

aggregation estimator which 4 Chapter 1. Introduction is adaptive to any choice of q is desirable… …The primary idea of constructing an aggregation estimator for the purpose of adaptive… …aggressive and conservative in an adaptive way, 10 Chapter 2. The Literature on Aggregation of… …on some initial data. Two aggregation algorithms, the ARM algorithm (Adaptive… …interest to determine the efficiency of the combining procedure. Aggregation of estimates is one… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

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APA (6th Edition):

Wang, Z. (2012). Minimax estimation and model identification for high-dimensional regression. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/139797

Chicago Manual of Style (16th Edition):

Wang, Zhan. “Minimax estimation and model identification for high-dimensional regression.” 2012. Doctoral Dissertation, University of Minnesota. Accessed September 23, 2019. http://purl.umn.edu/139797.

MLA Handbook (7th Edition):

Wang, Zhan. “Minimax estimation and model identification for high-dimensional regression.” 2012. Web. 23 Sep 2019.

Vancouver:

Wang Z. Minimax estimation and model identification for high-dimensional regression. [Internet] [Doctoral dissertation]. University of Minnesota; 2012. [cited 2019 Sep 23]. Available from: http://purl.umn.edu/139797.

Council of Science Editors:

Wang Z. Minimax estimation and model identification for high-dimensional regression. [Doctoral Dissertation]. University of Minnesota; 2012. Available from: http://purl.umn.edu/139797

12. Mabon, Gwennaëlle. Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models.

Degree: Docteur es, Mathématiques appliquées, 2016, Sorbonne Paris Cité

Dans cette thèse, nous nous intéressons au problème d'estimation de densité dans le modèle de convolution. Ce cadre correspond aux modèles avec erreurs de mesures… (more)

Subjects/Keywords: Modèles de convolution; Modèles de durées; Modèles mixtes; Estimation non-paramétrique; Estimation adaptative; Estimation par projection; Sélection de modèles; Méthodes de Goldenshluger et Lepski; Agrégation; Vitesses optimales minimax; Convolution models; Duration models; Mixed models; Nonparametric estimation; Adaptive estimation; Projection estimators; Model selection; Goldenshluger and Lepski method; Aggregation; Minimax optimal rates; 519

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APA (6th Edition):

Mabon, G. (2016). Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models. (Doctoral Dissertation). Sorbonne Paris Cité. Retrieved from http://www.theses.fr/2016USPCB020

Chicago Manual of Style (16th Edition):

Mabon, Gwennaëlle. “Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models.” 2016. Doctoral Dissertation, Sorbonne Paris Cité. Accessed September 23, 2019. http://www.theses.fr/2016USPCB020.

MLA Handbook (7th Edition):

Mabon, Gwennaëlle. “Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models.” 2016. Web. 23 Sep 2019.

Vancouver:

Mabon G. Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; 2016. [cited 2019 Sep 23]. Available from: http://www.theses.fr/2016USPCB020.

Council of Science Editors:

Mabon G. Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models. [Doctoral Dissertation]. Sorbonne Paris Cité; 2016. Available from: http://www.theses.fr/2016USPCB020

.