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Dates: 2010 – 2014

You searched for subject:(probabilistic graphical models). Showing records 1 – 29 of 29 total matches.

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University of New Mexico

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

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 December 15, 2019. http://hdl.handle.net/1928/23359.

MLA Handbook (7th Edition):

Oyen, Diane. “Interactive Exploration of Multitask Dependency Networks.” 2013. Web. 15 Dec 2019.

Vancouver:

Oyen D. Interactive Exploration of Multitask Dependency Networks. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2019 Dec 15]. 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


University of California – Berkeley

2. 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 December 15, 2019. 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. 15 Dec 2019.

Vancouver:

Wang Z. Extracting and Querying Probabilistic Information in BayesStore. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2019 Dec 15]. 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

3. 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 December 15, 2019. 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. 15 Dec 2019.

Vancouver:

Queiroz Batista da Silva C. A holistic approach for measuring the survivability of SCADA systems. [Internet] [Thesis]. RMIT University; 2012. [cited 2019 Dec 15]. 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


University of Southern California

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

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/5681

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 December 15, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5681.

MLA Handbook (7th Edition):

Ma, Nam. “Scalable exact inference in probabilistic graphical models on multi-core platforms.” 2014. Web. 15 Dec 2019.

Vancouver:

Ma N. Scalable exact inference in probabilistic graphical models on multi-core platforms. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Dec 15]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5681.

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/5681

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

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 December 15, 2019. 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. 15 Dec 2019.

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 2019 Dec 15]. 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 Minnesota

6. 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 December 15, 2019. http://hdl.handle.net/11299/172052.

MLA Handbook (7th Edition):

Wang, Huahua. “Large scale optimization for machine learning.” 2014. Web. 15 Dec 2019.

Vancouver:

Wang H. Large scale optimization for machine learning. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Dec 15]. 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

7. 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… 

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

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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 December 15, 2019. 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. 15 Dec 2019.

Vancouver:

Mauá DD. Algorithms and complexity results for discrete probabilistic reasoning tasks. [Internet] [Thesis]. Università della Svizzera italiana; 2013. [cited 2019 Dec 15]. 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


University of Illinois – Urbana-Champaign

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

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 December 15, 2019. http://hdl.handle.net/2142/32004.

MLA Handbook (7th Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Web. 15 Dec 2019.

Vancouver:

Choi J. Lifted Inference for Relational Hybrid Models. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Dec 15]. 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

9. 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 (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 December 15, 2019. 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. 15 Dec 2019.

Vancouver:

Sun F. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2019 Dec 15]. 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

10. 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 (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 December 15, 2019. 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. 15 Dec 2019.

Vancouver:

Chatterjee S. Efficient inference algorithms for near-deterministic systems. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2019 Dec 15]. 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

11. 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 December 15, 2019. 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. 15 Dec 2019.

Vancouver:

Hennig P. Approximate inference in graphical models. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2019 Dec 15]. 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

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

Degree: 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 . (Thesis). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/237251

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):

Hennig, Philipp. “Approximate inference in graphical models .” 2011. Thesis, University of Cambridge. Accessed December 15, 2019. http://www.dspace.cam.ac.uk/handle/1810/237251.

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

MLA Handbook (7th Edition):

Hennig, Philipp. “Approximate inference in graphical models .” 2011. Web. 15 Dec 2019.

Vancouver:

Hennig P. Approximate inference in graphical models . [Internet] [Thesis]. University of Cambridge; 2011. [cited 2019 Dec 15]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237251.

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

Council of Science Editors:

Hennig P. Approximate inference in graphical models . [Thesis]. University of Cambridge; 2011. Available from: http://www.dspace.cam.ac.uk/handle/1810/237251

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


University of Illinois – Urbana-Champaign

13. 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 December 15, 2019. http://hdl.handle.net/2142/42470.

MLA Handbook (7th Edition):

Zhao, Bo. “Truth finding in databases.” 2013. Web. 15 Dec 2019.

Vancouver:

Zhao B. Truth finding in databases. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Dec 15]. 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

14. Moghadasin, Babak. An Approach on Learning Multivariate Regression Chain Graphs from Data.

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

  The necessity of modeling is vital for the purpose of reasoning and diagnosing in complex systems, since the human mind might sometimes have a… (more)

Subjects/Keywords: Probabilistic graphical models; Bayesian networks; BN; Chain Graphs; CG; Multivariate regression chain graphs; MVR CG; learning graphs; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Moghadasin, B. (2013). An Approach on Learning Multivariate Regression Chain Graphs from Data. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94019

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):

Moghadasin, Babak. “An Approach on Learning Multivariate Regression Chain Graphs from Data.” 2013. Thesis, Linköping UniversityLinköping University. Accessed December 15, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94019.

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

MLA Handbook (7th Edition):

Moghadasin, Babak. “An Approach on Learning Multivariate Regression Chain Graphs from Data.” 2013. Web. 15 Dec 2019.

Vancouver:

Moghadasin B. An Approach on Learning Multivariate Regression Chain Graphs from Data. [Internet] [Thesis]. Linköping UniversityLinköping University; 2013. [cited 2019 Dec 15]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94019.

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

Council of Science Editors:

Moghadasin B. An Approach on Learning Multivariate Regression Chain Graphs from Data. [Thesis]. Linköping UniversityLinköping University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94019

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

15. 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 (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 December 15, 2019. 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. 15 Dec 2019.

Vancouver:

O'Connor BT. Statistical Text Analysis for Social Science. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2019 Dec 15]. 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

16. 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 December 15, 2019. 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. 15 Dec 2019.

Vancouver:

Liu Q. Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2019 Dec 15]. 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


McMaster University

17. KHADEMI, MAHMOUD. Probabilistic Graphical Models for Prognosis and Diagnosis of Breast Cancer.

Degree: MSc, 2013, McMaster University

One in nine women is expected to be diagnosed with breast cancer during her life. In 2013, an estimated 23, 800 Canadian women will… (more)

Subjects/Keywords: Artificial Intelligence; Statistical Machine Learning; Probabilistic Graphical Models; Manifold Learning; Microarray Data; Breast Cancer; Other Computer Engineering; Other Computer Engineering

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APA (6th Edition):

KHADEMI, M. (2013). Probabilistic Graphical Models for Prognosis and Diagnosis of Breast Cancer. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/13754

Chicago Manual of Style (16th Edition):

KHADEMI, MAHMOUD. “Probabilistic Graphical Models for Prognosis and Diagnosis of Breast Cancer.” 2013. Masters Thesis, McMaster University. Accessed December 15, 2019. http://hdl.handle.net/11375/13754.

MLA Handbook (7th Edition):

KHADEMI, MAHMOUD. “Probabilistic Graphical Models for Prognosis and Diagnosis of Breast Cancer.” 2013. Web. 15 Dec 2019.

Vancouver:

KHADEMI M. Probabilistic Graphical Models for Prognosis and Diagnosis of Breast Cancer. [Internet] [Masters thesis]. McMaster University; 2013. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11375/13754.

Council of Science Editors:

KHADEMI M. Probabilistic Graphical Models for Prognosis and Diagnosis of Breast Cancer. [Masters Thesis]. McMaster University; 2013. Available from: http://hdl.handle.net/11375/13754

18. Chu, Xinqi. Epitome and its applications.

Degree: MS, 1200, 2013, University of Illinois – Urbana-Champaign

 Due to the lack of explicit spatial consideration, the existing epitome model may fail for image recognition and target detection, which directly motivates us to… (more)

Subjects/Keywords: probabilistic graphical models; image synthesis; recognition; colorization

…Motivated by the aforementioned observations, we propose a new graphical model of epitome to… …x28;s). A set of Gaussian mixtures is introduced into the original graphical model of… …summarized as follows: 1. A new graphical model of epitome which combines the information about… …Gaussian Mixture Models (GMM) to model the image locations from which the patches are… …Tk , Ck )p(Ck , Tk ), (2.5) k=1 6 Figure 2.1: The graphical… 

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APA (6th Edition):

Chu, X. (2013). Epitome and its applications. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42279

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):

Chu, Xinqi. “Epitome and its applications.” 2013. Thesis, University of Illinois – Urbana-Champaign. Accessed December 15, 2019. http://hdl.handle.net/2142/42279.

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

MLA Handbook (7th Edition):

Chu, Xinqi. “Epitome and its applications.” 2013. Web. 15 Dec 2019.

Vancouver:

Chu X. Epitome and its applications. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/2142/42279.

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

Council of Science Editors:

Chu X. Epitome and its applications. [Thesis]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42279

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


University of Michigan

19. Meng, Zhaoshi. Distributed Learning, Prediction and Detection in Probabilistic Graphs.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

 Critical to high-dimensional statistical estimation is to exploit the structure in the data distribution. Probabilistic graphical models provide an efficient framework for representing complex joint… (more)

Subjects/Keywords: probabilistic graphical models; machine learning; high-dimensional statistics; statistical estimation; distributed learning and estimation; Computer Science; Engineering

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APA (6th Edition):

Meng, Z. (2014). Distributed Learning, Prediction and Detection in Probabilistic Graphs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/110499

Chicago Manual of Style (16th Edition):

Meng, Zhaoshi. “Distributed Learning, Prediction and Detection in Probabilistic Graphs.” 2014. Doctoral Dissertation, University of Michigan. Accessed December 15, 2019. http://hdl.handle.net/2027.42/110499.

MLA Handbook (7th Edition):

Meng, Zhaoshi. “Distributed Learning, Prediction and Detection in Probabilistic Graphs.” 2014. Web. 15 Dec 2019.

Vancouver:

Meng Z. Distributed Learning, Prediction and Detection in Probabilistic Graphs. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/2027.42/110499.

Council of Science Editors:

Meng Z. Distributed Learning, Prediction and Detection in Probabilistic Graphs. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/110499


Northeastern University

20. Golabchi, Fatemeh Noushin. Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections.

Degree: PhD, Department of Electrical and Computer Engineering, 2013, Northeastern University

 Segmentation and classification of images into desired components is a fundamental problem in biomedical image processing. In this work we address the particular problem of… (more)

Subjects/Keywords: Axon Segmentation; Histology Images; Image Segmentation; Microscopy Image Segmentation; Model based Image Segmentation; Probabilistic Graphical Models; Biomedical; Electrical and Computer Engineering

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APA (6th Edition):

Golabchi, F. N. (2013). Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20004837

Chicago Manual of Style (16th Edition):

Golabchi, Fatemeh Noushin. “Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections.” 2013. Doctoral Dissertation, Northeastern University. Accessed December 15, 2019. http://hdl.handle.net/2047/d20004837.

MLA Handbook (7th Edition):

Golabchi, Fatemeh Noushin. “Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections.” 2013. Web. 15 Dec 2019.

Vancouver:

Golabchi FN. Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections. [Internet] [Doctoral dissertation]. Northeastern University; 2013. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/2047/d20004837.

Council of Science Editors:

Golabchi FN. Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections. [Doctoral Dissertation]. Northeastern University; 2013. Available from: http://hdl.handle.net/2047/d20004837


University of California – Riverside

21. Zhu, Yingying. Towards Sparse Modeling of Multi-Object Interactions in Video.

Degree: Electrical Engineering, 2014, University of California – Riverside

 In this dissertation, we develop intelligent methodologies for the modeling and recognition of activities in continuous videos. Videos usually consist of activities involving interactions between… (more)

Subjects/Keywords: Electrical engineering; Computer engineering; Computer science; Activity Modeling and Recognition; Anomaly Detection; Context-aware Activity Recognition; Modeling of Object Interactions; Probabilistic Graphical Models; Sparse Modeling

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APA (6th Edition):

Zhu, Y. (2014). Towards Sparse Modeling of Multi-Object Interactions in Video. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/6nw7z4c2

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):

Zhu, Yingying. “Towards Sparse Modeling of Multi-Object Interactions in Video.” 2014. Thesis, University of California – Riverside. Accessed December 15, 2019. http://www.escholarship.org/uc/item/6nw7z4c2.

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

MLA Handbook (7th Edition):

Zhu, Yingying. “Towards Sparse Modeling of Multi-Object Interactions in Video.” 2014. Web. 15 Dec 2019.

Vancouver:

Zhu Y. Towards Sparse Modeling of Multi-Object Interactions in Video. [Internet] [Thesis]. University of California – Riverside; 2014. [cited 2019 Dec 15]. Available from: http://www.escholarship.org/uc/item/6nw7z4c2.

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

Council of Science Editors:

Zhu Y. Towards Sparse Modeling of Multi-Object Interactions in Video. [Thesis]. University of California – Riverside; 2014. Available from: http://www.escholarship.org/uc/item/6nw7z4c2

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. Le, Tung. Probabilistic inference via sum-product algorithms on binary pairwise Gibbs random fields with applications to multiple fault diagnosis.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

 In this dissertation, we consider probabilistic inference problems on binary pairwise Gibbs random fields (BPW-GRFs), which belong to a class of Markov random fields with… (more)

Subjects/Keywords: Probabilistic inference; marginal problems; marginal bounds; graphical models; Markov random fields; Gibbs random fields; binary pairwise Gibbs random fields; belief propagation; sum-product algorithms; fault diagnosis

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APA (6th Edition):

Le, T. (2011). Probabilistic inference via sum-product algorithms on binary pairwise Gibbs random fields with applications to multiple fault diagnosis. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18543

Chicago Manual of Style (16th Edition):

Le, Tung. “Probabilistic inference via sum-product algorithms on binary pairwise Gibbs random fields with applications to multiple fault diagnosis.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 15, 2019. http://hdl.handle.net/2142/18543.

MLA Handbook (7th Edition):

Le, Tung. “Probabilistic inference via sum-product algorithms on binary pairwise Gibbs random fields with applications to multiple fault diagnosis.” 2011. Web. 15 Dec 2019.

Vancouver:

Le T. Probabilistic inference via sum-product algorithms on binary pairwise Gibbs random fields with applications to multiple fault diagnosis. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/2142/18543.

Council of Science Editors:

Le T. Probabilistic inference via sum-product algorithms on binary pairwise Gibbs random fields with applications to multiple fault diagnosis. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18543

23. Al-Bashabsheh, Ali. Normal Factor Graphs .

Degree: 2014, University of Ottawa

 This thesis introduces normal factor graphs under a new semantics, namely, the exterior function semantics. Initially, this work was motivated by two distinct lines of… (more)

Subjects/Keywords: Holographic transformations; sum of products; partition function; probabilistic models; graphical models; factor graphs; trace diagrams

…solving some ranking problems. The graphical models above are related to the probabilistic… …Markov random field. (c) Factor graph. Figure 1.3: Probabilistic graphical models… …factor graphs as a probabilistic model and discusses their relations to other graphical models… …1 Introduction 1.1 Graphical models A graphical model is a graphical notation of a… …interdisciplinary aspect of some graphical models, with focus on factor graphs, we refer the reader to… 

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

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APA (6th Edition):

Al-Bashabsheh, A. (2014). Normal Factor Graphs . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/30659

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):

Al-Bashabsheh, Ali. “Normal Factor Graphs .” 2014. Thesis, University of Ottawa. Accessed December 15, 2019. http://hdl.handle.net/10393/30659.

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

MLA Handbook (7th Edition):

Al-Bashabsheh, Ali. “Normal Factor Graphs .” 2014. Web. 15 Dec 2019.

Vancouver:

Al-Bashabsheh A. Normal Factor Graphs . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/10393/30659.

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

Council of Science Editors:

Al-Bashabsheh A. Normal Factor Graphs . [Thesis]. University of Ottawa; 2014. Available from: http://hdl.handle.net/10393/30659

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


Carnegie Mellon University

24. Cheng, Heng-Tze. Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities.

Degree: 2013, Carnegie Mellon University

 The mission of the research presented in this thesis is to give computers the power to sense and react to human activities. Without the ability… (more)

Subjects/Keywords: Activity recognition; machine learning; zero-shot learning; active learning; semantic attributes; feature extraction; probabilistic graphical models; context-aware systems; ubiquitous computing; mobile computing; user behavior modeling; sensor data analysis; artificial intelligence; Electrical and Computer Engineering

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APA (6th Edition):

Cheng, H. (2013). Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/293

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):

Cheng, Heng-Tze. “Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities.” 2013. Thesis, Carnegie Mellon University. Accessed December 15, 2019. http://repository.cmu.edu/dissertations/293.

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

MLA Handbook (7th Edition):

Cheng, Heng-Tze. “Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities.” 2013. Web. 15 Dec 2019.

Vancouver:

Cheng H. Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities. [Internet] [Thesis]. Carnegie Mellon University; 2013. [cited 2019 Dec 15]. Available from: http://repository.cmu.edu/dissertations/293.

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

Council of Science Editors:

Cheng H. Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities. [Thesis]. Carnegie Mellon University; 2013. Available from: http://repository.cmu.edu/dissertations/293

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

25. Windham, Andrew Winsome. A Multi-agent Decision Process for Controlling Heating, Ventilation, and Air-conditioning Systems.

Degree: PhD, Architectural Engineering, 2014, Penn State University

 The primary focus of this work is to explore and describe a proposed decision process for use in controlling heating, ventilation, and air conditioning systems… (more)

Subjects/Keywords: Building Automation; Multi-Agent Systems; Conditional Game Theory; HVAC; Probabilistic Graphical Models; Distributed Control

…mathematics to create models spanning many variables. Bayesianist: Probabilistic representation that… …to characterize possible decision in a probabilistic and graphical nature. Joint… …which an agent chooses. Probabilistic graphical modeling: A body of theory and methods that… …probabilistic graphical modeling. Figure 2 graphically conveys the three general phases that lead to… …multi-agent decisions. Ideas from probabilistic graphical modeling are used to drive agent… 

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APA (6th Edition):

Windham, A. W. (2014). A Multi-agent Decision Process for Controlling Heating, Ventilation, and Air-conditioning Systems. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/21294

Chicago Manual of Style (16th Edition):

Windham, Andrew Winsome. “A Multi-agent Decision Process for Controlling Heating, Ventilation, and Air-conditioning Systems.” 2014. Doctoral Dissertation, Penn State University. Accessed December 15, 2019. https://etda.libraries.psu.edu/catalog/21294.

MLA Handbook (7th Edition):

Windham, Andrew Winsome. “A Multi-agent Decision Process for Controlling Heating, Ventilation, and Air-conditioning Systems.” 2014. Web. 15 Dec 2019.

Vancouver:

Windham AW. A Multi-agent Decision Process for Controlling Heating, Ventilation, and Air-conditioning Systems. [Internet] [Doctoral dissertation]. Penn State University; 2014. [cited 2019 Dec 15]. Available from: https://etda.libraries.psu.edu/catalog/21294.

Council of Science Editors:

Windham AW. A Multi-agent Decision Process for Controlling Heating, Ventilation, and Air-conditioning Systems. [Doctoral Dissertation]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/21294

26. Tamersoy, Birgi. Facial feature localization using highly flexible yet sufficiently strict shape models.

Degree: PhD, Electrical and Computer Engineering, 2014, University of Texas – Austin

 Accurate and efficient localization of facial features is a crucial first step in many face-related computer vision tasks. Some of these tasks include, but not… (more)

Subjects/Keywords: Facial feature localization; Probabilistic graphical models; Belief propagation; Nonparametric belief propagation

…3.2.2 Probabilistic Graphical Models (PGMs) . . . 3.2.3 Belief Propagation (BP… …Section 3.2.1), 2. Probabilistic Graphical Models (Section 3.2.2), 3. Belief… …model as the basis of a probabilistic graphical model, where the feature locations become the… …intuitive probabilistic graphical model framework. This framework, accompanied by the new shape… …Models . . . . . . 2.1.2 Parameterized Shape Models . . . . 2.2 Unconstrained Facial Feature… 

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APA (6th Edition):

Tamersoy, B. (2014). Facial feature localization using highly flexible yet sufficiently strict shape models. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/25995

Chicago Manual of Style (16th Edition):

Tamersoy, Birgi. “Facial feature localization using highly flexible yet sufficiently strict shape models.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed December 15, 2019. http://hdl.handle.net/2152/25995.

MLA Handbook (7th Edition):

Tamersoy, Birgi. “Facial feature localization using highly flexible yet sufficiently strict shape models.” 2014. Web. 15 Dec 2019.

Vancouver:

Tamersoy B. Facial feature localization using highly flexible yet sufficiently strict shape models. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/2152/25995.

Council of Science Editors:

Tamersoy B. Facial feature localization using highly flexible yet sufficiently strict shape models. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/25995

27. Kapicioglu, Berk. Applications of Machine Learning to Location Data .

Degree: PhD, 2013, Princeton University

 Positioning devices are generating location data at an unprecedented pace. Coupled with the right software, these data may enable a virtually unlimited number of valuable… (more)

Subjects/Keywords: collaborative ranking; location data; machine learning; probabilistic graphical models; spatiotemporal data

probabilistic graphical models for location prediction, where the goal is to predict users’ future… …design two novel Bayesian probabilistic graphical models. Our models intelligently share… …research. Previously, various sequential probabilistic graphical models have been proposed to… …x5B;46] further review past probabilistic graphical models and their applications to… …3 Collaborative Place Models 45 3.1 Background… 

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APA (6th Edition):

Kapicioglu, B. (2013). Applications of Machine Learning to Location Data . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01r494vk25x

Chicago Manual of Style (16th Edition):

Kapicioglu, Berk. “Applications of Machine Learning to Location Data .” 2013. Doctoral Dissertation, Princeton University. Accessed December 15, 2019. http://arks.princeton.edu/ark:/88435/dsp01r494vk25x.

MLA Handbook (7th Edition):

Kapicioglu, Berk. “Applications of Machine Learning to Location Data .” 2013. Web. 15 Dec 2019.

Vancouver:

Kapicioglu B. Applications of Machine Learning to Location Data . [Internet] [Doctoral dissertation]. Princeton University; 2013. [cited 2019 Dec 15]. Available from: http://arks.princeton.edu/ark:/88435/dsp01r494vk25x.

Council of Science Editors:

Kapicioglu B. Applications of Machine Learning to Location Data . [Doctoral Dissertation]. Princeton University; 2013. Available from: http://arks.princeton.edu/ark:/88435/dsp01r494vk25x


University of Florida

28. Kampa, Kittipat - Mr. Structured Graphical Models for Unsupervised Image Segmentation.

Degree: PhD, Electrical and Computer Engineering, 2011, University of Florida

In the dissertation, we seek the following goals: (1) to come up with a probabilistic Advisors/Committee Members: Principe, Jose C (committee chair), Rangarajan, Anand (committee member), Harris, John G (committee member), Khare, Kshitij (committee member).

Subjects/Keywords: Algorithms; Bayesian networks; Computer vision; Datasets; Inference; Multisensor fusion; Parametric models; Pixels; Probabilistic modeling; Sensors; bayesian  – cbir  – expectation-maximization  – graphical  – image  – models  – networks  – probabilistic  – segmentation  – superpixel  – tree-structured  – unsupervised

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APA (6th Edition):

Kampa, K. -. M. (2011). Structured Graphical Models for Unsupervised Image Segmentation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043604

Chicago Manual of Style (16th Edition):

Kampa, Kittipat - Mr. “Structured Graphical Models for Unsupervised Image Segmentation.” 2011. Doctoral Dissertation, University of Florida. Accessed December 15, 2019. http://ufdc.ufl.edu/UFE0043604.

MLA Handbook (7th Edition):

Kampa, Kittipat - Mr. “Structured Graphical Models for Unsupervised Image Segmentation.” 2011. Web. 15 Dec 2019.

Vancouver:

Kampa K-M. Structured Graphical Models for Unsupervised Image Segmentation. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Dec 15]. Available from: http://ufdc.ufl.edu/UFE0043604.

Council of Science Editors:

Kampa K-M. Structured Graphical Models for Unsupervised Image Segmentation. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043604

29. Baah, George Kofi. Statistical causal analysis for fault localization.

Degree: PhD, Computing, 2012, Georgia Tech

 The ubiquitous nature of software demands that software is released without faults. However, software developers inadvertently introduce faults into software during development. To remove the… (more)

Subjects/Keywords: Causal analysis; Probabilistic graphical models; Fault localization; Debugging; Program analysis; Probabilities; Software engineering; Computer software Development; Computer software Quality control

…the areas of probabilistic graphical models [11], Pearl’s Structural Causal Model… …98 13 Comparison of fault-localization models . . . . . . . . . . . . . . . . . 105 14… …localization models . . . . . . . . . . . . . . . . . 110 17 Distribution of “Better” improvements… …models. . . . . . . . . . . . . . . . . 126 20 Distribution of positive improvements… …state of the art in fault localization. To extend the state-of-the-art, a novel probabilistic… 

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APA (6th Edition):

Baah, G. K. (2012). Statistical causal analysis for fault localization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45762

Chicago Manual of Style (16th Edition):

Baah, George Kofi. “Statistical causal analysis for fault localization.” 2012. Doctoral Dissertation, Georgia Tech. Accessed December 15, 2019. http://hdl.handle.net/1853/45762.

MLA Handbook (7th Edition):

Baah, George Kofi. “Statistical causal analysis for fault localization.” 2012. Web. 15 Dec 2019.

Vancouver:

Baah GK. Statistical causal analysis for fault localization. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/1853/45762.

Council of Science Editors:

Baah GK. Statistical causal analysis for fault localization. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45762

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