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You searched for subject:(Probabilistic graphical models). Showing records 1 – 30 of 81 total matches.

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Georgia Tech

1. Shegheva, Snejana. A computational model for solving raven’s progressive matrices intelligence test.

Degree: MS, Computer Science, 2018, Georgia Tech

Graphical models offer techniques for capturing the structure of many problems in real- world domains and provide means for representation, interpretation, and inference. The modeling… (more)

Subjects/Keywords: Probabilistic graphical models; Machine learning

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APA (6th Edition):

Shegheva, S. (2018). A computational model for solving raven’s progressive matrices intelligence test. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60191

Chicago Manual of Style (16th Edition):

Shegheva, Snejana. “A computational model for solving raven’s progressive matrices intelligence test.” 2018. Masters Thesis, Georgia Tech. Accessed April 01, 2020. http://hdl.handle.net/1853/60191.

MLA Handbook (7th Edition):

Shegheva, Snejana. “A computational model for solving raven’s progressive matrices intelligence test.” 2018. Web. 01 Apr 2020.

Vancouver:

Shegheva S. A computational model for solving raven’s progressive matrices intelligence test. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1853/60191.

Council of Science Editors:

Shegheva S. A computational model for solving raven’s progressive matrices intelligence test. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60191


University of New Mexico

2. Oyen, Diane. Interactive Exploration of Multitask Dependency Networks.

Degree: Department of Computer Science, 2013, University of New Mexico

 Scientists increasingly depend on machine learning algorithms to discover patterns in complex data. Two examples addressed in this dissertation are identifying how information sharing among… (more)

Subjects/Keywords: machine learning; probabilistic graphical models

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APA (6th Edition):

Oyen, D. (2013). Interactive Exploration of Multitask Dependency Networks. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/23359

Chicago Manual of Style (16th Edition):

Oyen, Diane. “Interactive Exploration of Multitask Dependency Networks.” 2013. Doctoral Dissertation, University of New Mexico. Accessed April 01, 2020. http://hdl.handle.net/1928/23359.

MLA Handbook (7th Edition):

Oyen, Diane. “Interactive Exploration of Multitask Dependency Networks.” 2013. Web. 01 Apr 2020.

Vancouver:

Oyen D. Interactive Exploration of Multitask Dependency Networks. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1928/23359.

Council of Science Editors:

Oyen D. Interactive Exploration of Multitask Dependency Networks. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/23359


Australian National University

3. Mohasel Afshar, Hadi. Probabilistic Inference in Piecewise Graphical Models .

Degree: 2016, Australian National University

 In many applications of probabilistic inference the models contain piecewise densities that are differentiable except at partition boundaries. For instance, (1) some models may intrinsically… (more)

Subjects/Keywords: Piecewise; Graphical models; probabilistic inference; MCMC; sampling

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APA (6th Edition):

Mohasel Afshar, H. (2016). Probabilistic Inference in Piecewise Graphical Models . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/107386

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):

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Thesis, Australian National University. Accessed April 01, 2020. http://hdl.handle.net/1885/107386.

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

MLA Handbook (7th Edition):

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Web. 01 Apr 2020.

Vancouver:

Mohasel Afshar H. Probabilistic Inference in Piecewise Graphical Models . [Internet] [Thesis]. Australian National University; 2016. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1885/107386.

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

Council of Science Editors:

Mohasel Afshar H. Probabilistic Inference in Piecewise Graphical Models . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/107386

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


University of California – Berkeley

4. Wang, Zhe. Extracting and Querying Probabilistic Information in BayesStore.

Degree: Electrical Engineering & Computer Sciences, 2011, University of California – Berkeley

 During the past few years, the number of applications that need to process large-scale data has grown remarkably. The data driving these applications are often… (more)

Subjects/Keywords: Computer science; Conditional Random Fields; Database; Probabilistic Database; Probabilistic Graphical Models; Query-driven; Text Analysis

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APA (6th Edition):

Wang, Z. (2011). Extracting and Querying Probabilistic Information in BayesStore. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/3557w390

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, Zhe. “Extracting and Querying Probabilistic Information in BayesStore.” 2011. Thesis, University of California – Berkeley. Accessed April 01, 2020. http://www.escholarship.org/uc/item/3557w390.

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

MLA Handbook (7th Edition):

Wang, Zhe. “Extracting and Querying Probabilistic Information in BayesStore.” 2011. Web. 01 Apr 2020.

Vancouver:

Wang Z. Extracting and Querying Probabilistic Information in BayesStore. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2020 Apr 01]. Available from: http://www.escholarship.org/uc/item/3557w390.

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

Council of Science Editors:

Wang Z. Extracting and Querying Probabilistic Information in BayesStore. [Thesis]. University of California – Berkeley; 2011. Available from: http://www.escholarship.org/uc/item/3557w390

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


RMIT University

5. Queiroz Batista da Silva, C. A holistic approach for measuring the survivability of SCADA systems.

Degree: 2012, RMIT University

 Supervisory Control and Data Acquisition (SCADA) systems are responsible for controlling and monitoring Industrial Control Systems (ICS) and Critical Infrastructure Systems (CIS) among others. Such… (more)

Subjects/Keywords: Fields of Research; SCADA; Survivability; Probabilistic Graphical Models; Security; Performance

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APA (6th Edition):

Queiroz Batista da Silva, C. (2012). A holistic approach for measuring the survivability of SCADA systems. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:160341

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):

Queiroz Batista da Silva, C. “A holistic approach for measuring the survivability of SCADA systems.” 2012. Thesis, RMIT University. Accessed April 01, 2020. http://researchbank.rmit.edu.au/view/rmit:160341.

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

MLA Handbook (7th Edition):

Queiroz Batista da Silva, C. “A holistic approach for measuring the survivability of SCADA systems.” 2012. Web. 01 Apr 2020.

Vancouver:

Queiroz Batista da Silva C. A holistic approach for measuring the survivability of SCADA systems. [Internet] [Thesis]. RMIT University; 2012. [cited 2020 Apr 01]. Available from: http://researchbank.rmit.edu.au/view/rmit:160341.

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

Council of Science Editors:

Queiroz Batista da Silva C. A holistic approach for measuring the survivability of SCADA systems. [Thesis]. RMIT University; 2012. Available from: http://researchbank.rmit.edu.au/view/rmit:160341

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

6. Ayadi, Inès. Optimisation des politiques de maintenance préventive dans un cadre de modélisation par modèles graphiques probabilistes : Optimization of Preventive Maintenance Policies in a context of modelisation by probabilistic graphical models.

Degree: Docteur es, Informatique, 2013, Université Paris-Est

 Actuellement, les équipements employés dans les milieux industriels sont de plus en plus complexes. Ils exigent une maintenance accrue afin de garantir un niveau de… (more)

Subjects/Keywords: Modèles graphiques probabilistes; Optimisation; Métaheuristique; Graphical probabilistic models; Optimization; Metaheuristic

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APA (6th Edition):

Ayadi, I. (2013). Optimisation des politiques de maintenance préventive dans un cadre de modélisation par modèles graphiques probabilistes : Optimization of Preventive Maintenance Policies in a context of modelisation by probabilistic graphical models. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2013PEST1072

Chicago Manual of Style (16th Edition):

Ayadi, Inès. “Optimisation des politiques de maintenance préventive dans un cadre de modélisation par modèles graphiques probabilistes : Optimization of Preventive Maintenance Policies in a context of modelisation by probabilistic graphical models.” 2013. Doctoral Dissertation, Université Paris-Est. Accessed April 01, 2020. http://www.theses.fr/2013PEST1072.

MLA Handbook (7th Edition):

Ayadi, Inès. “Optimisation des politiques de maintenance préventive dans un cadre de modélisation par modèles graphiques probabilistes : Optimization of Preventive Maintenance Policies in a context of modelisation by probabilistic graphical models.” 2013. Web. 01 Apr 2020.

Vancouver:

Ayadi I. Optimisation des politiques de maintenance préventive dans un cadre de modélisation par modèles graphiques probabilistes : Optimization of Preventive Maintenance Policies in a context of modelisation by probabilistic graphical models. [Internet] [Doctoral dissertation]. Université Paris-Est; 2013. [cited 2020 Apr 01]. Available from: http://www.theses.fr/2013PEST1072.

Council of Science Editors:

Ayadi I. Optimisation des politiques de maintenance préventive dans un cadre de modélisation par modèles graphiques probabilistes : Optimization of Preventive Maintenance Policies in a context of modelisation by probabilistic graphical models. [Doctoral Dissertation]. Université Paris-Est; 2013. Available from: http://www.theses.fr/2013PEST1072


University of Toronto

7. Dhoot, Aditya. Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.

Degree: 2016, University of Toronto

Wind farm layout optimization (WFLO) determines the optimal location of wind turbines within a fixed geographical area to maximize the total power capacity of the… (more)

Subjects/Keywords: approximate inference; probabilistic graphical models; wind farm design; 0796

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APA (6th Edition):

Dhoot, A. (2016). Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/72692

Chicago Manual of Style (16th Edition):

Dhoot, Aditya. “Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.” 2016. Masters Thesis, University of Toronto. Accessed April 01, 2020. http://hdl.handle.net/1807/72692.

MLA Handbook (7th Edition):

Dhoot, Aditya. “Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.” 2016. Web. 01 Apr 2020.

Vancouver:

Dhoot A. Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1807/72692.

Council of Science Editors:

Dhoot A. Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. [Masters Thesis]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/72692

8. Mauá, Denis Deratani. Algorithms and complexity results for discrete probabilistic reasoning tasks.

Degree: 2013, Università della Svizzera italiana

 Many solutions to problems in machine learning and artificial intelligence involve solving a combinatorial optimization problem over discrete variables whose functional dependence is conveniently represented… (more)

Subjects/Keywords: Probabilistic graphical models

…posteriori inference in discrete probabilistic graphical models (more precisely, in Bayesian… …probabilistic graphical models. These are multivariate models where irrelevance assessments between… …Maximum a posteriori inference 2.1 Graphical models and the MAP assignment problem . . . . 2.2… …optimization problems are the maximum a posteriori inference in discrete probabilistic graphical… …problems we consider involves credal networks, which are graphical models whose numerical… 

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APA (6th Edition):

Mauá, D. D. (2013). Algorithms and complexity results for discrete probabilistic reasoning tasks. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/203103

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):

Mauá, Denis Deratani. “Algorithms and complexity results for discrete probabilistic reasoning tasks.” 2013. Thesis, Università della Svizzera italiana. Accessed April 01, 2020. http://doc.rero.ch/record/203103.

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

MLA Handbook (7th Edition):

Mauá, Denis Deratani. “Algorithms and complexity results for discrete probabilistic reasoning tasks.” 2013. Web. 01 Apr 2020.

Vancouver:

Mauá DD. Algorithms and complexity results for discrete probabilistic reasoning tasks. [Internet] [Thesis]. Università della Svizzera italiana; 2013. [cited 2020 Apr 01]. Available from: http://doc.rero.ch/record/203103.

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

Council of Science Editors:

Mauá DD. Algorithms and complexity results for discrete probabilistic reasoning tasks. [Thesis]. Università della Svizzera italiana; 2013. Available from: http://doc.rero.ch/record/203103

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


KTH

9. Hamesse, Charles. Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture.

Degree: RPL, 2018, KTH

Achilles tendonbrott (Achilles Tendon Rupture, ATR) är en av de typiska mjukvävnadsskadorna. Rehabilitering efter sådana muskuloskeletala skador förblir en långvarig process med ett mycket… (more)

Subjects/Keywords: Machine learning; Probabilistic graphical models; Healthcare; Computer Systems; Datorsystem

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APA (6th Edition):

Hamesse, C. (2018). Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231485

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):

Hamesse, Charles. “Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture.” 2018. Thesis, KTH. Accessed April 01, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231485.

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

MLA Handbook (7th Edition):

Hamesse, Charles. “Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture.” 2018. Web. 01 Apr 2020.

Vancouver:

Hamesse C. Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture. [Internet] [Thesis]. KTH; 2018. [cited 2020 Apr 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231485.

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

Council of Science Editors:

Hamesse C. Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231485

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


University of Toronto

10. Lazic, Nevena. Message Passing Algorithms for Facility Location Problems.

Degree: 2011, University of Toronto

Discrete location analysis is one of the most widely studied branches of operations research, whose applications arise in a wide variety of settings. This thesis… (more)

Subjects/Keywords: probabilistic graphical models; facility location; MAP inference; 0544

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APA (6th Edition):

Lazic, N. (2011). Message Passing Algorithms for Facility Location Problems. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/27587

Chicago Manual of Style (16th Edition):

Lazic, Nevena. “Message Passing Algorithms for Facility Location Problems.” 2011. Doctoral Dissertation, University of Toronto. Accessed April 01, 2020. http://hdl.handle.net/1807/27587.

MLA Handbook (7th Edition):

Lazic, Nevena. “Message Passing Algorithms for Facility Location Problems.” 2011. Web. 01 Apr 2020.

Vancouver:

Lazic N. Message Passing Algorithms for Facility Location Problems. [Internet] [Doctoral dissertation]. University of Toronto; 2011. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1807/27587.

Council of Science Editors:

Lazic N. Message Passing Algorithms for Facility Location Problems. [Doctoral Dissertation]. University of Toronto; 2011. Available from: http://hdl.handle.net/1807/27587


University of Illinois – Urbana-Champaign

11. Cao, Phuong. An experiment using factor graph for early attack detection.

Degree: MS, Computer Science, 2015, University of Illinois – Urbana-Champaign

 This paper presents a factor graph based framework (named AttackTagger) for high accuracy and preemptive detection of attacks. We use security logs of real-incidents that… (more)

Subjects/Keywords: probabilistic graphical models; factor graph; security incidents; preemptive intrusion detection

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APA (6th Edition):

Cao, P. (2015). An experiment using factor graph for early attack detection. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78579

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):

Cao, Phuong. “An experiment using factor graph for early attack detection.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed April 01, 2020. http://hdl.handle.net/2142/78579.

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

MLA Handbook (7th Edition):

Cao, Phuong. “An experiment using factor graph for early attack detection.” 2015. Web. 01 Apr 2020.

Vancouver:

Cao P. An experiment using factor graph for early attack detection. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2142/78579.

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

Council of Science Editors:

Cao P. An experiment using factor graph for early attack detection. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78579

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


University of Minnesota

12. Wang, Huahua. Large scale optimization for machine learning.

Degree: PhD, Computer Science, 2014, University of Minnesota

 Over the last several decades, tremendous tools have been developed in machine learning, ranging from statistical models to scalable algorithms, from learning strategies to various… (more)

Subjects/Keywords: Data mining; Machine learning; Optimization; Probabilistic graphical models; Computer science

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APA (6th Edition):

Wang, H. (2014). Large scale optimization for machine learning. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/172052

Chicago Manual of Style (16th Edition):

Wang, Huahua. “Large scale optimization for machine learning.” 2014. Doctoral Dissertation, University of Minnesota. Accessed April 01, 2020. http://hdl.handle.net/11299/172052.

MLA Handbook (7th Edition):

Wang, Huahua. “Large scale optimization for machine learning.” 2014. Web. 01 Apr 2020.

Vancouver:

Wang H. Large scale optimization for machine learning. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/11299/172052.

Council of Science Editors:

Wang H. Large scale optimization for machine learning. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/172052


University of Southern California

13. Ma, Nam. Scalable exact inference in probabilistic graphical models on multi-core platforms.

Degree: PhD, Computer Science, 2014, University of Southern California

 The recent switch to multi‐core computing and the emergence of machine learning applications have offered many opportunities for parallelization. However, achieving scalability with respect to… (more)

Subjects/Keywords: parallel algorithms; probabilistic inference; scalability; graph computations; graphical models; multi‐core

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APA (6th Edition):

Ma, N. (2014). Scalable exact inference in probabilistic graphical models on multi-core platforms. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5688

Chicago Manual of Style (16th Edition):

Ma, Nam. “Scalable exact inference in probabilistic graphical models on multi-core platforms.” 2014. Doctoral Dissertation, University of Southern California. Accessed April 01, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5688.

MLA Handbook (7th Edition):

Ma, Nam. “Scalable exact inference in probabilistic graphical models on multi-core platforms.” 2014. Web. 01 Apr 2020.

Vancouver:

Ma N. Scalable exact inference in probabilistic graphical models on multi-core platforms. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Apr 01]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5688.

Council of Science Editors:

Ma N. Scalable exact inference in probabilistic graphical models on multi-core platforms. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5688

14. Villanueva Talavera, Edwin Rafael. Métodos Bayesianos aplicados em taxonomia molecular.

Degree: Mestrado, Processamento de Sinais de Instrumentação, 2007, University of São Paulo

Neste trabalho são apresentados dois métodos de agrupamento de dados visados para aplicações em taxonomia molecular. Estes métodos estão baseados em modelos probabilísticos, o que… (more)

Subjects/Keywords: Agrupamento; Agrupamento hierárquico; Clustering; Hierarchical clustering; Modelos gráficos probabilísticos; Modelos probabilísticos; Molecular taxonomy; Probabilistic graphical models; Probabilistic models; Taxonomia molecular

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APA (6th Edition):

Villanueva Talavera, E. R. (2007). Métodos Bayesianos aplicados em taxonomia molecular. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18152/tde-03102007-105125/ ;

Chicago Manual of Style (16th Edition):

Villanueva Talavera, Edwin Rafael. “Métodos Bayesianos aplicados em taxonomia molecular.” 2007. Masters Thesis, University of São Paulo. Accessed April 01, 2020. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-03102007-105125/ ;.

MLA Handbook (7th Edition):

Villanueva Talavera, Edwin Rafael. “Métodos Bayesianos aplicados em taxonomia molecular.” 2007. Web. 01 Apr 2020.

Vancouver:

Villanueva Talavera ER. Métodos Bayesianos aplicados em taxonomia molecular. [Internet] [Masters thesis]. University of São Paulo; 2007. [cited 2020 Apr 01]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18152/tde-03102007-105125/ ;.

Council of Science Editors:

Villanueva Talavera ER. Métodos Bayesianos aplicados em taxonomia molecular. [Masters Thesis]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/18/18152/tde-03102007-105125/ ;


University of Illinois – Urbana-Champaign

15. Choi, Jaesik. Lifted Inference for Relational Hybrid Models.

Degree: PhD, 0112, 2012, University of Illinois – Urbana-Champaign

Probabilistic Graphical Models (PGMs) promise to play a prominent role in many complex real-world systems. Probabilistic Relational Graphical Models (PRGMs) scale the representation and learning… (more)

Subjects/Keywords: Probabilistic Graphical Models; Relational Hybrid Models; Lifted Inference; First-Order Probabilistic Models; Probabilistic Logic; Kalman filter; Relational Kalman filter; Variational Learning, Markov Logic Networks

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APA (6th Edition):

Choi, J. (2012). Lifted Inference for Relational Hybrid Models. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/32004

Chicago Manual of Style (16th Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 01, 2020. http://hdl.handle.net/2142/32004.

MLA Handbook (7th Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Web. 01 Apr 2020.

Vancouver:

Choi J. Lifted Inference for Relational Hybrid Models. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2142/32004.

Council of Science Editors:

Choi J. Lifted Inference for Relational Hybrid Models. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/32004


Carnegie Mellon University

16. Sun, Feng-Tso. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.

Degree: 2014, Carnegie Mellon University

 Recent advances in sensor technologies and the growing interest in context- aware applications, such as targeted advertising and location-based services, have led to a demand… (more)

Subjects/Keywords: Activity recognition; machine learning; topic modeling; nonparametric Bayesian; probabilistic graphical models; context-aware systems

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

APA (6th Edition):

Sun, F. (2014). Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/359

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):

Sun, Feng-Tso. “Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.” 2014. Thesis, Carnegie Mellon University. Accessed April 01, 2020. http://repository.cmu.edu/dissertations/359.

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

MLA Handbook (7th Edition):

Sun, Feng-Tso. “Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.” 2014. Web. 01 Apr 2020.

Vancouver:

Sun F. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2020 Apr 01]. Available from: http://repository.cmu.edu/dissertations/359.

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

Council of Science Editors:

Sun F. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. [Thesis]. Carnegie Mellon University; 2014. Available from: http://repository.cmu.edu/dissertations/359

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


University of California – Berkeley

17. Chatterjee, Shaunak. Efficient inference algorithms for near-deterministic systems.

Degree: Electrical Engineering & Computer Sciences, 2013, University of California – Berkeley

 This thesis addresses the problem of performing probabilistic inference in stochastic systems where the probability mass is far from uniformly distributed among all possible outcomes.… (more)

Subjects/Keywords: Artificial intelligence; Eigenanalysis; Graphical models; MCMC; Near-deterministic systems; Probabilistic inference; Viterbi

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

APA (6th Edition):

Chatterjee, S. (2013). Efficient inference algorithms for near-deterministic systems. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/0g63029f

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):

Chatterjee, Shaunak. “Efficient inference algorithms for near-deterministic systems.” 2013. Thesis, University of California – Berkeley. Accessed April 01, 2020. http://www.escholarship.org/uc/item/0g63029f.

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

MLA Handbook (7th Edition):

Chatterjee, Shaunak. “Efficient inference algorithms for near-deterministic systems.” 2013. Web. 01 Apr 2020.

Vancouver:

Chatterjee S. Efficient inference algorithms for near-deterministic systems. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2020 Apr 01]. Available from: http://www.escholarship.org/uc/item/0g63029f.

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

Council of Science Editors:

Chatterjee S. Efficient inference algorithms for near-deterministic systems. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/0g63029f

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


University of Cambridge

18. Hennig, Philipp. Approximate inference in graphical models.

Degree: PhD, 2011, University of Cambridge

 Probability theory provides a mathematically rigorous yet conceptually flexible calculus of uncertainty, allowing the construction of complex hierarchical models for real-world inference tasks. Unfortunately, exact… (more)

Subjects/Keywords: 519.2; Applied mathematics; Computer science; Probability theory; Probabilistic inference; Graphical models; Approximate inference

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

APA (6th Edition):

Hennig, P. (2011). Approximate inference in graphical models. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/237251 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541854

Chicago Manual of Style (16th Edition):

Hennig, Philipp. “Approximate inference in graphical models.” 2011. Doctoral Dissertation, University of Cambridge. Accessed April 01, 2020. https://www.repository.cam.ac.uk/handle/1810/237251 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541854.

MLA Handbook (7th Edition):

Hennig, Philipp. “Approximate inference in graphical models.” 2011. Web. 01 Apr 2020.

Vancouver:

Hennig P. Approximate inference in graphical models. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2020 Apr 01]. Available from: https://www.repository.cam.ac.uk/handle/1810/237251 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541854.

Council of Science Editors:

Hennig P. Approximate inference in graphical models. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: https://www.repository.cam.ac.uk/handle/1810/237251 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541854


University of Cambridge

19. Hennig, Philipp. Approximate inference in graphical models.

Degree: PhD, 2011, University of Cambridge

 Probability theory provides a mathematically rigorous yet conceptually flexible calculus of uncertainty, allowing the construction of complex hierarchical models for real-world inference tasks. Unfortunately, exact… (more)

Subjects/Keywords: Applied mathematics; Computer science; Probability theory; Probabilistic inference; Graphical models; Approximate inference

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

APA (6th Edition):

Hennig, P. (2011). Approximate inference in graphical models. (Doctoral Dissertation). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/237251https://www.repository.cam.ac.uk/bitstream/1810/237251/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/3/Thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/5/Thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/6/Thesis.pdf.jpg

Chicago Manual of Style (16th Edition):

Hennig, Philipp. “Approximate inference in graphical models.” 2011. Doctoral Dissertation, University of Cambridge. Accessed April 01, 2020. http://www.dspace.cam.ac.uk/handle/1810/237251https://www.repository.cam.ac.uk/bitstream/1810/237251/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/3/Thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/5/Thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/6/Thesis.pdf.jpg.

MLA Handbook (7th Edition):

Hennig, Philipp. “Approximate inference in graphical models.” 2011. Web. 01 Apr 2020.

Vancouver:

Hennig P. Approximate inference in graphical models. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2020 Apr 01]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237251https://www.repository.cam.ac.uk/bitstream/1810/237251/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/3/Thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/5/Thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/6/Thesis.pdf.jpg.

Council of Science Editors:

Hennig P. Approximate inference in graphical models. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: http://www.dspace.cam.ac.uk/handle/1810/237251https://www.repository.cam.ac.uk/bitstream/1810/237251/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/3/Thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/5/Thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237251/6/Thesis.pdf.jpg

20. Omar, Farheen. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.

Degree: 2016, University of Waterloo

Probabilistic Graphical Models are often used to e fficiently encode uncertainty in real world problems as probability distributions. Bayesian learning allows us to compute a… (more)

Subjects/Keywords: Machine Learning; Artificial Intelligence; Bayesian Learning; Probabilistic Graphical Models; Topic Modeling; Activity Recognition

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

APA (6th Edition):

Omar, F. (2016). Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10499

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):

Omar, Farheen. “Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.” 2016. Thesis, University of Waterloo. Accessed April 01, 2020. http://hdl.handle.net/10012/10499.

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

MLA Handbook (7th Edition):

Omar, Farheen. “Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.” 2016. Web. 01 Apr 2020.

Vancouver:

Omar F. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/10012/10499.

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

Council of Science Editors:

Omar F. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10499

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

21. Salakhutdinov, Ruslan. Learning Deep Generative Models.

Degree: 2009, University of Toronto

Building intelligent systems that are capable of extracting high-level representations from high-dimensional sensory data lies at the core of solving many AI related tasks, including… (more)

Subjects/Keywords: computer science; probabilistic graphical models

…us to not only compare DBN’s to other probabilistic models, but also perform model… …Belief Networks (DBN’s) are probabilistic generative models that contain many layers… …a class of two-layer undirected graphical models that generalize RBM’s to exponential… …of Replicated Softmax Models Consider an undirected graphical model that consists of one… …typically allows one to carry out parameter optimization efficiently in these models. The appeal… 

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

APA (6th Edition):

Salakhutdinov, R. (2009). Learning Deep Generative Models. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/19226

Chicago Manual of Style (16th Edition):

Salakhutdinov, Ruslan. “Learning Deep Generative Models.” 2009. Doctoral Dissertation, University of Toronto. Accessed April 01, 2020. http://hdl.handle.net/1807/19226.

MLA Handbook (7th Edition):

Salakhutdinov, Ruslan. “Learning Deep Generative Models.” 2009. Web. 01 Apr 2020.

Vancouver:

Salakhutdinov R. Learning Deep Generative Models. [Internet] [Doctoral dissertation]. University of Toronto; 2009. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1807/19226.

Council of Science Editors:

Salakhutdinov R. Learning Deep Generative Models. [Doctoral Dissertation]. University of Toronto; 2009. Available from: http://hdl.handle.net/1807/19226


University of Illinois – Urbana-Champaign

22. Zhao, Bo. Truth finding in databases.

Degree: PhD, 0112, 2013, University of Illinois – Urbana-Champaign

 In practical data integration systems, it is common for the data sources being integrated to provide conflicting information about the same entity. Consequently, a major… (more)

Subjects/Keywords: data integration; truth finding; data fusion; data quality; entity matching; data mining; probabilistic graphical models

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

APA (6th Edition):

Zhao, B. (2013). Truth finding in databases. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42470

Chicago Manual of Style (16th Edition):

Zhao, Bo. “Truth finding in databases.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 01, 2020. http://hdl.handle.net/2142/42470.

MLA Handbook (7th Edition):

Zhao, Bo. “Truth finding in databases.” 2013. Web. 01 Apr 2020.

Vancouver:

Zhao B. Truth finding in databases. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2142/42470.

Council of Science Editors:

Zhao B. Truth finding in databases. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42470


University of Illinois – Urbana-Champaign

23. Bean, Andrew J. Message passing algorithms - methods and applications.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 Algorithms on graphs are used extensively in many applications and research areas. Such applications include machine learning, artificial intelligence, communications, image processing, state tracking, sensor… (more)

Subjects/Keywords: probabilistic graphical models; approximate inference; universal portfolios; message passing; analog to digital converters (ADC)

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APA (6th Edition):

Bean, A. J. (2015). Message passing algorithms - methods and applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78397

Chicago Manual of Style (16th Edition):

Bean, Andrew J. “Message passing algorithms - methods and applications.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 01, 2020. http://hdl.handle.net/2142/78397.

MLA Handbook (7th Edition):

Bean, Andrew J. “Message passing algorithms - methods and applications.” 2015. Web. 01 Apr 2020.

Vancouver:

Bean AJ. Message passing algorithms - methods and applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2142/78397.

Council of Science Editors:

Bean AJ. Message passing algorithms - methods and applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78397


University of Melbourne

24. MOUSAVI, AZADEH. Decentralized data mining for event detection in spatiotemporal fields.

Degree: 2015, University of Melbourne

 This thesis investigates the accurate and efficient detection of spatial events in dynamic spatial fields, based on data from highly distributed environmental sensor systems, such… (more)

Subjects/Keywords: wireless geosensor networks; spatiotemporal data mining; event detection; dynamic fields; probabilistic graphical models; distributed algorithms

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

APA (6th Edition):

MOUSAVI, A. (2015). Decentralized data mining for event detection in spatiotemporal fields. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/55671

Chicago Manual of Style (16th Edition):

MOUSAVI, AZADEH. “Decentralized data mining for event detection in spatiotemporal fields.” 2015. Doctoral Dissertation, University of Melbourne. Accessed April 01, 2020. http://hdl.handle.net/11343/55671.

MLA Handbook (7th Edition):

MOUSAVI, AZADEH. “Decentralized data mining for event detection in spatiotemporal fields.” 2015. Web. 01 Apr 2020.

Vancouver:

MOUSAVI A. Decentralized data mining for event detection in spatiotemporal fields. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/11343/55671.

Council of Science Editors:

MOUSAVI A. Decentralized data mining for event detection in spatiotemporal fields. [Doctoral Dissertation]. University of Melbourne; 2015. Available from: http://hdl.handle.net/11343/55671


University of Arkansas

25. Chung, Ming-Hua. Probabilistic Graphical Modeling on Big Data.

Degree: PhD, 2015, University of Arkansas

  The rise of Big Data in recent years brings many challenges to modern statistical analysis and modeling. In toxicogenomics, the advancement of high-throughput screening… (more)

Subjects/Keywords: Pure sciences; Applied sciences; Bayesian nonparametric; Big data; Probabilistic graphical models; Social networks; Topic models; Toxicogenomics; Applied Statistics; Categorical Data Analysis

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

APA (6th Edition):

Chung, M. (2015). Probabilistic Graphical Modeling on Big Data. (Doctoral Dissertation). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/1415

Chicago Manual of Style (16th Edition):

Chung, Ming-Hua. “Probabilistic Graphical Modeling on Big Data.” 2015. Doctoral Dissertation, University of Arkansas. Accessed April 01, 2020. https://scholarworks.uark.edu/etd/1415.

MLA Handbook (7th Edition):

Chung, Ming-Hua. “Probabilistic Graphical Modeling on Big Data.” 2015. Web. 01 Apr 2020.

Vancouver:

Chung M. Probabilistic Graphical Modeling on Big Data. [Internet] [Doctoral dissertation]. University of Arkansas; 2015. [cited 2020 Apr 01]. Available from: https://scholarworks.uark.edu/etd/1415.

Council of Science Editors:

Chung M. Probabilistic Graphical Modeling on Big Data. [Doctoral Dissertation]. University of Arkansas; 2015. Available from: https://scholarworks.uark.edu/etd/1415


University of Colorado

26. Kightley, Eric Paul. Stokes, Gauss, and Bayes Walk into a Bar...

Degree: PhD, 2019, University of Colorado

 This thesis consists of three distinct projects. The first is a study of microbial aggregate fragmentation, in which we develop a dynamical model of aggregate… (more)

Subjects/Keywords: classification; clustering; dimensionality reduction; probabilistic graphical models; random projections; Applied Mathematics; Artificial Intelligence and Robotics; Statistical Models

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APA (6th Edition):

Kightley, E. P. (2019). Stokes, Gauss, and Bayes Walk into a Bar... (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/152

Chicago Manual of Style (16th Edition):

Kightley, Eric Paul. “Stokes, Gauss, and Bayes Walk into a Bar...” 2019. Doctoral Dissertation, University of Colorado. Accessed April 01, 2020. https://scholar.colorado.edu/appm_gradetds/152.

MLA Handbook (7th Edition):

Kightley, Eric Paul. “Stokes, Gauss, and Bayes Walk into a Bar...” 2019. Web. 01 Apr 2020.

Vancouver:

Kightley EP. Stokes, Gauss, and Bayes Walk into a Bar... [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2020 Apr 01]. Available from: https://scholar.colorado.edu/appm_gradetds/152.

Council of Science Editors:

Kightley EP. Stokes, Gauss, and Bayes Walk into a Bar... [Doctoral Dissertation]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/appm_gradetds/152

27. Wadehn, Federico. State Space Methods with Applications in Biomedical Signal Processing.

Degree: 2019, ETH Zürich

 For more than a decade, the model-based approach to signal processing based on state space models (SSMs) and factor graphs is being pursued at the… (more)

Subjects/Keywords: Biomedical signal processing; Probabilistic graphical models; Signal processing; Optimization; State space models; info:eu-repo/classification/ddc/621.3; Electric engineering

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

APA (6th Edition):

Wadehn, F. (2019). State Space Methods with Applications in Biomedical Signal Processing. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/344762

Chicago Manual of Style (16th Edition):

Wadehn, Federico. “State Space Methods with Applications in Biomedical Signal Processing.” 2019. Doctoral Dissertation, ETH Zürich. Accessed April 01, 2020. http://hdl.handle.net/20.500.11850/344762.

MLA Handbook (7th Edition):

Wadehn, Federico. “State Space Methods with Applications in Biomedical Signal Processing.” 2019. Web. 01 Apr 2020.

Vancouver:

Wadehn F. State Space Methods with Applications in Biomedical Signal Processing. [Internet] [Doctoral dissertation]. ETH Zürich; 2019. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/20.500.11850/344762.

Council of Science Editors:

Wadehn F. State Space Methods with Applications in Biomedical Signal Processing. [Doctoral Dissertation]. ETH Zürich; 2019. Available from: http://hdl.handle.net/20.500.11850/344762

28. O'Connor, Brendan T. Statistical Text Analysis for Social Science.

Degree: 2014, Carnegie Mellon University

 What can text corpora tell us about society? How can automatic text analysis algorithms efficiently and reliably analyze the social processes revealed in language production?… (more)

Subjects/Keywords: computational social science; natural language processing; text mining; quantitative text analysis; machine learning; probabilistic graphical models

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

APA (6th Edition):

O'Connor, B. T. (2014). Statistical Text Analysis for Social Science. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/541

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):

O'Connor, Brendan T. “Statistical Text Analysis for Social Science.” 2014. Thesis, Carnegie Mellon University. Accessed April 01, 2020. http://repository.cmu.edu/dissertations/541.

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

MLA Handbook (7th Edition):

O'Connor, Brendan T. “Statistical Text Analysis for Social Science.” 2014. Web. 01 Apr 2020.

Vancouver:

O'Connor BT. Statistical Text Analysis for Social Science. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2020 Apr 01]. Available from: http://repository.cmu.edu/dissertations/541.

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

Council of Science Editors:

O'Connor BT. Statistical Text Analysis for Social Science. [Thesis]. Carnegie Mellon University; 2014. Available from: http://repository.cmu.edu/dissertations/541

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


University of California – Irvine

29. Liu, Qiang. Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework.

Degree: Computer Science, 2014, University of California – Irvine

Probabilistic graphical models such as Markov random fields, Bayesian networks and decision networks (a.k.a. influence diagrams) provide powerful frameworks for representing and exploiting dependence structures… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Approximate inference; Belief propagation; Graphical models; Influence diagrams; Probabilistic inference; Variational methods

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APA (6th Edition):

Liu, Q. (2014). Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/92p8w3xb

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, Qiang. “Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework.” 2014. Thesis, University of California – Irvine. Accessed April 01, 2020. http://www.escholarship.org/uc/item/92p8w3xb.

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

MLA Handbook (7th Edition):

Liu, Qiang. “Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework.” 2014. Web. 01 Apr 2020.

Vancouver:

Liu Q. Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2020 Apr 01]. Available from: http://www.escholarship.org/uc/item/92p8w3xb.

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

Council of Science Editors:

Liu Q. Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/92p8w3xb

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


University of California – Irvine

30. Keator, David Bryant. Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity.

Degree: Computer Science, 2015, University of California – Irvine

 The use of functional neuroimaging to evaluate brain disorders has become pervasive in the scientific community. The technique provides researchers with a means to evaluate… (more)

Subjects/Keywords: Computer science; Medical imaging and radiology; classification; functional connectivity; molecular imaging; position profile estimation; probabilistic graphical models; Sparse inverse covariance estimation

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APA (6th Edition):

Keator, D. B. (2015). Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/0k23r2j9

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):

Keator, David Bryant. “Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity.” 2015. Thesis, University of California – Irvine. Accessed April 01, 2020. http://www.escholarship.org/uc/item/0k23r2j9.

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

MLA Handbook (7th Edition):

Keator, David Bryant. “Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity.” 2015. Web. 01 Apr 2020.

Vancouver:

Keator DB. Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity. [Internet] [Thesis]. University of California – Irvine; 2015. [cited 2020 Apr 01]. Available from: http://www.escholarship.org/uc/item/0k23r2j9.

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

Council of Science Editors:

Keator DB. Probabilistic Models for Brain Image Collection, Classication, and Functional Connectivity. [Thesis]. University of California – Irvine; 2015. Available from: http://www.escholarship.org/uc/item/0k23r2j9

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

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