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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

URL: http://hdl.handle.net/1853/60191

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

APA (6^{th} 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 (16^{th} Edition):

Shegheva, Snejana. “A computational model for solving raven’s progressive matrices intelligence test.” 2018. Masters Thesis, Georgia Tech. Accessed November 14, 2019. http://hdl.handle.net/1853/60191.

MLA Handbook (7^{th} Edition):

Shegheva, Snejana. “A computational model for solving raven’s progressive matrices intelligence test.” 2018. Web. 14 Nov 2019.

Vancouver:

Shegheva S. A computational model for solving raven’s progressive matrices intelligence test. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Nov 14]. 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

URL: http://hdl.handle.net/1928/23359

► 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 (6^{th} 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 (16^{th} Edition):

Oyen, Diane. “Interactive Exploration of Multitask Dependency Networks.” 2013. Doctoral Dissertation, University of New Mexico. Accessed November 14, 2019. http://hdl.handle.net/1928/23359.

MLA Handbook (7^{th} Edition):

Oyen, Diane. “Interactive Exploration of Multitask Dependency Networks.” 2013. Web. 14 Nov 2019.

Vancouver:

Oyen D. Interactive Exploration of Multitask Dependency Networks. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2019 Nov 14]. 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

Degree: 2016, Australian National University

URL: http://hdl.handle.net/1885/107386

► 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 (6^{th} 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 (16^{th} Edition):

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Thesis, Australian National University. Accessed November 14, 2019. 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 (7^{th} Edition):

Mohasel Afshar, Hadi. “Probabilistic Inference in Piecewise Graphical Models .” 2016. Web. 14 Nov 2019.

Vancouver:

Mohasel Afshar H. Probabilistic Inference in Piecewise Graphical Models . [Internet] [Thesis]. Australian National University; 2016. [cited 2019 Nov 14]. 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

Not specified: Masters Thesis or Doctoral Dissertation

University of Guelph

4. Alshememry, Abdulrahman. Privacy Sensitive Environment Decomposition for Hypertree Agent Organization Construction .

Degree: 2018, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14119

► Cooperative multiagent systems form an active area of research and practice in AI and software engineering. Decentralized *probabilistic* reasoning, constraint reasoning, and decision-theoretic reasoning are…
(more)

Subjects/Keywords: Artificial Intelligence; Multi-agent systems; Probabilistic Reasoning; Probabilistic Graphical Models; Graphical Models; Junction Tree; Agent Organization

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

APA (6^{th} Edition):

Alshememry, A. (2018). Privacy Sensitive Environment Decomposition for Hypertree Agent Organization Construction . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14119

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Alshememry, Abdulrahman. “Privacy Sensitive Environment Decomposition for Hypertree Agent Organization Construction .” 2018. Thesis, University of Guelph. Accessed November 14, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14119.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Alshememry, Abdulrahman. “Privacy Sensitive Environment Decomposition for Hypertree Agent Organization Construction .” 2018. Web. 14 Nov 2019.

Vancouver:

Alshememry A. Privacy Sensitive Environment Decomposition for Hypertree Agent Organization Construction . [Internet] [Thesis]. University of Guelph; 2018. [cited 2019 Nov 14]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14119.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alshememry A. Privacy Sensitive Environment Decomposition for Hypertree Agent Organization Construction . [Thesis]. University of Guelph; 2018. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14119

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

5.
Wang, Zhe.
Extracting and Querying *Probabilistic* Information in BayesStore.

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

URL: http://www.escholarship.org/uc/item/3557w390

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wang, Zhe. “Extracting and Querying Probabilistic Information in BayesStore.” 2011. Thesis, University of California – Berkeley. Accessed November 14, 2019. http://www.escholarship.org/uc/item/3557w390.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Zhe. “Extracting and Querying Probabilistic Information in BayesStore.” 2011. Web. 14 Nov 2019.

Vancouver:

Wang Z. Extracting and Querying Probabilistic Information in BayesStore. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2019 Nov 14]. Available from: http://www.escholarship.org/uc/item/3557w390.

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

Not specified: Masters Thesis or Doctoral Dissertation

RMIT University

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

Degree: 2012, RMIT University

URL: http://researchbank.rmit.edu.au/view/rmit:160341

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Queiroz Batista da Silva, C. “A holistic approach for measuring the survivability of SCADA systems.” 2012. Thesis, RMIT University. Accessed November 14, 2019. http://researchbank.rmit.edu.au/view/rmit:160341.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Queiroz Batista da Silva, C. “A holistic approach for measuring the survivability of SCADA systems.” 2012. Web. 14 Nov 2019.

Vancouver:

Queiroz Batista da Silva C. A holistic approach for measuring the survivability of SCADA systems. [Internet] [Thesis]. RMIT University; 2012. [cited 2019 Nov 14]. Available from: http://researchbank.rmit.edu.au/view/rmit:160341.

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

Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

7.
Zou, Jun.
Social computing for personalization and credible information mining using *probabilistic* *graphical* * models*.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/55646

► In this dissertation, we address challenging social computing problems in personalized recommender systems and social media information mining. We tap into *probabilistic* *graphical* *models*, including…
(more)

Subjects/Keywords: Social computing; Recommender systems; Collaborative filtering; Belief propagation; Probabilistic graphical models

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

APA (6^{th} Edition):

Zou, J. (2016). Social computing for personalization and credible information mining using probabilistic graphical models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55646

Chicago Manual of Style (16^{th} Edition):

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Doctoral Dissertation, Georgia Tech. Accessed November 14, 2019. http://hdl.handle.net/1853/55646.

MLA Handbook (7^{th} Edition):

Zou, Jun. “Social computing for personalization and credible information mining using probabilistic graphical models.” 2016. Web. 14 Nov 2019.

Vancouver:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/1853/55646.

Council of Science Editors:

Zou J. Social computing for personalization and credible information mining using probabilistic graphical models. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55646

University of Southern California

8.
Ma, Nam.
Scalable exact inference in *probabilistic* *graphical* *models*
on multi-core platforms.

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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5681

► 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 (6^{th} 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 (16^{th} Edition):

Ma, Nam. “Scalable exact inference in probabilistic graphical models on multi-core platforms.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 14, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5681.

MLA Handbook (7^{th} Edition):

Ma, Nam. “Scalable exact inference in probabilistic graphical models on multi-core platforms.” 2014. Web. 14 Nov 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 Nov 14]. 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

9.
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

URL: http://www.theses.fr/2013PEST1072

► 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 (6^{th} 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 (16^{th} 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 November 14, 2019. http://www.theses.fr/2013PEST1072.

MLA Handbook (7^{th} 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. 14 Nov 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 Nov 14]. 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

KTH

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

Degree: RPL, 2018, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231485

►

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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Hamesse, Charles. “Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture.” 2018. Thesis, KTH. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231485.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hamesse, Charles. “Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture.” 2018. Web. 14 Nov 2019.

Vancouver:

Hamesse C. Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture. [Internet] [Thesis]. KTH; 2018. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231485.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Toronto

11.
Dhoot, Aditya.
Wind Farm Layout Optimization Using Approximate Inference in *Graphical* * Models*.

Degree: 2016, University of Toronto

URL: http://hdl.handle.net/1807/72692

►

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

APA (6^{th} 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 (16^{th} Edition):

Dhoot, Aditya. “Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.” 2016. Masters Thesis, University of Toronto. Accessed November 14, 2019. http://hdl.handle.net/1807/72692.

MLA Handbook (7^{th} Edition):

Dhoot, Aditya. “Wind Farm Layout Optimization Using Approximate Inference in Graphical Models.” 2016. Web. 14 Nov 2019.

Vancouver:

Dhoot A. Wind Farm Layout Optimization Using Approximate Inference in Graphical Models. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2019 Nov 14]. 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

University of Minnesota

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

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

URL: http://hdl.handle.net/11299/172052

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Wang, Huahua. “Large scale optimization for machine learning.” 2014. Doctoral Dissertation, University of Minnesota. Accessed November 14, 2019. http://hdl.handle.net/11299/172052.

MLA Handbook (7^{th} Edition):

Wang, Huahua. “Large scale optimization for machine learning.” 2014. Web. 14 Nov 2019.

Vancouver:

Wang H. Large scale optimization for machine learning. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Nov 14]. 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 Illinois – Urbana-Champaign

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

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

URL: http://hdl.handle.net/2142/78579

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Cao, Phuong. “An experiment using factor graph for early attack detection.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed November 14, 2019. http://hdl.handle.net/2142/78579.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cao, Phuong. “An experiment using factor graph for early attack detection.” 2015. Web. 14 Nov 2019.

Vancouver:

Cao P. An experiment using factor graph for early attack detection. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2142/78579.

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

Not specified: Masters Thesis or Doctoral Dissertation

14.
Mauá, Denis Deratani.
Algorithms and complexity results for discrete *probabilistic*
reasoning tasks.

Degree: 2013, Università della Svizzera italiana

URL: http://doc.rero.ch/record/203103

► 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…

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mauá, Denis Deratani. “Algorithms and complexity results for discrete probabilistic reasoning tasks.” 2013. Thesis, Università della Svizzera italiana. Accessed November 14, 2019. http://doc.rero.ch/record/203103.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mauá, Denis Deratani. “Algorithms and complexity results for discrete probabilistic reasoning tasks.” 2013. Web. 14 Nov 2019.

Vancouver:

Mauá DD. Algorithms and complexity results for discrete probabilistic reasoning tasks. [Internet] [Thesis]. Università della Svizzera italiana; 2013. [cited 2019 Nov 14]. Available from: http://doc.rero.ch/record/203103.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Michigan

15.
Wang, Boshen.
An Empirical Evaluation of Algorithms for Computing Equilibria in Games for Approximate Inference in Large Dimensional *Probabilistic* *Graphical* * Models*.

Degree: MS, Computer and Information Science, College of Engineering & Computer Science, 2017, University of Michigan

URL: http://hdl.handle.net/2027.42/140771

► Work in *graphical* *models* for game theory typically borrows from results in *probabilistic* *graphical* *models*. In this work, we instead consider the opposite direction. By…
(more)

Subjects/Keywords: Probabilistic graphical models; Belief inference; Game theory; Equilibrium computation; Ising models; Computer science

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, B. (2017). An Empirical Evaluation of Algorithms for Computing Equilibria in Games for Approximate Inference in Large Dimensional Probabilistic Graphical Models. (Masters Thesis). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140771

Chicago Manual of Style (16^{th} Edition):

Wang, Boshen. “An Empirical Evaluation of Algorithms for Computing Equilibria in Games for Approximate Inference in Large Dimensional Probabilistic Graphical Models.” 2017. Masters Thesis, University of Michigan. Accessed November 14, 2019. http://hdl.handle.net/2027.42/140771.

MLA Handbook (7^{th} Edition):

Wang, Boshen. “An Empirical Evaluation of Algorithms for Computing Equilibria in Games for Approximate Inference in Large Dimensional Probabilistic Graphical Models.” 2017. Web. 14 Nov 2019.

Vancouver:

Wang B. An Empirical Evaluation of Algorithms for Computing Equilibria in Games for Approximate Inference in Large Dimensional Probabilistic Graphical Models. [Internet] [Masters thesis]. University of Michigan; 2017. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2027.42/140771.

Council of Science Editors:

Wang B. An Empirical Evaluation of Algorithms for Computing Equilibria in Games for Approximate Inference in Large Dimensional Probabilistic Graphical Models. [Masters Thesis]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140771

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

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

URL: http://www.teses.usp.br/teses/disponiveis/18/18152/tde-03102007-105125/ ;

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} Edition):

Villanueva Talavera, Edwin Rafael. “Métodos Bayesianos aplicados em taxonomia molecular.” 2007. Masters Thesis, University of São Paulo. Accessed November 14, 2019. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-03102007-105125/ ;.

MLA Handbook (7^{th} Edition):

Villanueva Talavera, Edwin Rafael. “Métodos Bayesianos aplicados em taxonomia molecular.” 2007. Web. 14 Nov 2019.

Vancouver:

Villanueva Talavera ER. Métodos Bayesianos aplicados em taxonomia molecular. [Internet] [Masters thesis]. University of São Paulo; 2007. [cited 2019 Nov 14]. 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

17.
Choi, Jaesik.
Lifted Inference for Relational Hybrid * Models*.

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

URL: http://hdl.handle.net/2142/32004

► *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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 14, 2019. http://hdl.handle.net/2142/32004.

MLA Handbook (7^{th} Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Web. 14 Nov 2019.

Vancouver:

Choi J. Lifted Inference for Relational Hybrid Models. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Nov 14]. 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

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

Degree: 2014, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/359

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Sun, Feng-Tso. “Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.” 2014. Thesis, Carnegie Mellon University. Accessed November 14, 2019. http://repository.cmu.edu/dissertations/359.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sun, Feng-Tso. “Nonparametric Discovery of Human Behavior Patterns from Multimodal Data.” 2014. Web. 14 Nov 2019.

Vancouver:

Sun F. Nonparametric Discovery of Human Behavior Patterns from Multimodal Data. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2019 Nov 14]. Available from: http://repository.cmu.edu/dissertations/359.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

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

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

URL: http://www.escholarship.org/uc/item/0g63029f

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Chatterjee, Shaunak. “Efficient inference algorithms for near-deterministic systems.” 2013. Thesis, University of California – Berkeley. Accessed November 14, 2019. http://www.escholarship.org/uc/item/0g63029f.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chatterjee, Shaunak. “Efficient inference algorithms for near-deterministic systems.” 2013. Web. 14 Nov 2019.

Vancouver:

Chatterjee S. Efficient inference algorithms for near-deterministic systems. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2019 Nov 14]. Available from: http://www.escholarship.org/uc/item/0g63029f.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

20.
Hennig, Philipp.
Approximate inference in *graphical* * models*.

Degree: PhD, 2011, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/237251 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541854

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} Edition):

Hennig, Philipp. “Approximate inference in graphical models.” 2011. Doctoral Dissertation, University of Cambridge. Accessed November 14, 2019. https://www.repository.cam.ac.uk/handle/1810/237251 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541854.

MLA Handbook (7^{th} Edition):

Hennig, Philipp. “Approximate inference in graphical models.” 2011. Web. 14 Nov 2019.

Vancouver:

Hennig P. Approximate inference in graphical models. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2019 Nov 14]. 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

21.
Hennig, Philipp.
Approximate inference in *graphical* * models*
.

Degree: 2011, University of Cambridge

URL: http://www.dspace.cam.ac.uk/handle/1810/237251

► 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

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Hennig, P. (2011). Approximate inference in graphical models . (Thesis). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/237251

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Hennig, Philipp. “Approximate inference in graphical models .” 2011. Thesis, University of Cambridge. Accessed November 14, 2019. http://www.dspace.cam.ac.uk/handle/1810/237251.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hennig, Philipp. “Approximate inference in graphical models .” 2011. Web. 14 Nov 2019.

Vancouver:

Hennig P. Approximate inference in graphical models . [Internet] [Thesis]. University of Cambridge; 2011. [cited 2019 Nov 14]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237251.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Santa Cruz

22.
Tomkins, Sabina.
* Probabilistic* Methods for Data-Driven Social Good.

Degree: Technology and Information Management, 2018, University of California – Santa Cruz

URL: http://www.escholarship.org/uc/item/1z70t8vs

► Computational techniques have much to offer in addressing questions of societal significance. Many such question can be framed as prediction problems, and approached with data-driven…
(more)

Subjects/Keywords: Artificial intelligence; Collective Inference; Education; Malicious Behavior; Probabilistic Graphical Models; Social Networks; Spatio-temporal

Record Details Similar Records

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

APA (6^{th} Edition):

Tomkins, S. (2018). Probabilistic Methods for Data-Driven Social Good. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/1z70t8vs

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Tomkins, Sabina. “Probabilistic Methods for Data-Driven Social Good.” 2018. Thesis, University of California – Santa Cruz. Accessed November 14, 2019. http://www.escholarship.org/uc/item/1z70t8vs.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tomkins, Sabina. “Probabilistic Methods for Data-Driven Social Good.” 2018. Web. 14 Nov 2019.

Vancouver:

Tomkins S. Probabilistic Methods for Data-Driven Social Good. [Internet] [Thesis]. University of California – Santa Cruz; 2018. [cited 2019 Nov 14]. Available from: http://www.escholarship.org/uc/item/1z70t8vs.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tomkins S. Probabilistic Methods for Data-Driven Social Good. [Thesis]. University of California – Santa Cruz; 2018. Available from: http://www.escholarship.org/uc/item/1z70t8vs

Not specified: Masters Thesis or Doctoral Dissertation

23.
Omar, Farheen.
Online Bayesian Learning in *Probabilistic* *Graphical* *Models* using Moment Matching with Applications.

Degree: 2016, University of Waterloo

URL: http://hdl.handle.net/10012/10499

► *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

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Omar, Farheen. “Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.” 2016. Thesis, University of Waterloo. Accessed November 14, 2019. http://hdl.handle.net/10012/10499.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Omar, Farheen. “Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications.” 2016. Web. 14 Nov 2019.

Vancouver:

Omar F. Online Bayesian Learning in Probabilistic Graphical Models using Moment Matching with Applications. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10012/10499.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of New Mexico

24. Roy, Sushmita. Learning condition-specific networks.

Degree: Department of Computer Science, 2009, University of New Mexico

URL: http://hdl.handle.net/1928/10331

► Condition-specific cellular networks are networks of genes and proteins that describe functional interactions among genes occurring under different environmental conditions. These networks provide a systems-level…
(more)

Subjects/Keywords: Machine learning; Computational Biology; Probabilistic graphical models; Gene expression; Condition-specific response

Record Details Similar Records

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

APA (6^{th} Edition):

Roy, S. (2009). Learning condition-specific networks. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/10331

Chicago Manual of Style (16^{th} Edition):

Roy, Sushmita. “Learning condition-specific networks.” 2009. Doctoral Dissertation, University of New Mexico. Accessed November 14, 2019. http://hdl.handle.net/1928/10331.

MLA Handbook (7^{th} Edition):

Roy, Sushmita. “Learning condition-specific networks.” 2009. Web. 14 Nov 2019.

Vancouver:

Roy S. Learning condition-specific networks. [Internet] [Doctoral dissertation]. University of New Mexico; 2009. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/1928/10331.

Council of Science Editors:

Roy S. Learning condition-specific networks. [Doctoral Dissertation]. University of New Mexico; 2009. Available from: http://hdl.handle.net/1928/10331

University of Illinois – Urbana-Champaign

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

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

URL: http://hdl.handle.net/2142/78397

► 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)

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Bean, Andrew J. “Message passing algorithms - methods and applications.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 14, 2019. http://hdl.handle.net/2142/78397.

MLA Handbook (7^{th} Edition):

Bean, Andrew J. “Message passing algorithms - methods and applications.” 2015. Web. 14 Nov 2019.

Vancouver:

Bean AJ. Message passing algorithms - methods and applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Nov 14]. 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 Illinois – Urbana-Champaign

26. Zhao, Bo. Truth finding in databases.

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

URL: http://hdl.handle.net/2142/42470

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Zhao, Bo. “Truth finding in databases.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 14, 2019. http://hdl.handle.net/2142/42470.

MLA Handbook (7^{th} Edition):

Zhao, Bo. “Truth finding in databases.” 2013. Web. 14 Nov 2019.

Vancouver:

Zhao B. Truth finding in databases. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Nov 14]. 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 Waterloo

27.
Zhong, Zilong.
Spectral-Spatial Neural Networks and *Probabilistic* Graph *Models* for Hyperspectral Image Classification.

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/14893

► Pixel-wise hyperspectral image (HSI) classification has been actively studied since it shares similar characteristics with related computer vision tasks, including image classification, object detection, and…
(more)

Subjects/Keywords: hyperspectral image classification; spectral-spatial neural networks; generative adversarial networks; probabilistic graphical models

Record Details Similar Records

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

APA (6^{th} Edition):

Zhong, Z. (2019). Spectral-Spatial Neural Networks and Probabilistic Graph Models for Hyperspectral Image Classification. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14893

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Zhong, Zilong. “Spectral-Spatial Neural Networks and Probabilistic Graph Models for Hyperspectral Image Classification.” 2019. Thesis, University of Waterloo. Accessed November 14, 2019. http://hdl.handle.net/10012/14893.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhong, Zilong. “Spectral-Spatial Neural Networks and Probabilistic Graph Models for Hyperspectral Image Classification.” 2019. Web. 14 Nov 2019.

Vancouver:

Zhong Z. Spectral-Spatial Neural Networks and Probabilistic Graph Models for Hyperspectral Image Classification. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10012/14893.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhong Z. Spectral-Spatial Neural Networks and Probabilistic Graph Models for Hyperspectral Image Classification. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14893

Not specified: Masters Thesis or Doctoral Dissertation

University of Arkansas

28.
Chung, Ming-Hua.
*Probabilistic**Graphical* Modeling on Big Data.

Degree: PhD, 2015, University of Arkansas

URL: https://scholarworks.uark.edu/etd/1415

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} Edition):

Chung, Ming-Hua. “Probabilistic Graphical Modeling on Big Data.” 2015. Doctoral Dissertation, University of Arkansas. Accessed November 14, 2019. https://scholarworks.uark.edu/etd/1415.

MLA Handbook (7^{th} Edition):

Chung, Ming-Hua. “Probabilistic Graphical Modeling on Big Data.” 2015. Web. 14 Nov 2019.

Vancouver:

Chung M. Probabilistic Graphical Modeling on Big Data. [Internet] [Doctoral dissertation]. University of Arkansas; 2015. [cited 2019 Nov 14]. 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

ETH Zürich

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

Degree: 2019, ETH Zürich

URL: http://hdl.handle.net/20.500.11850/344762

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} Edition):

Wadehn, Federico. “State Space Methods with Applications in Biomedical Signal Processing.” 2019. Doctoral Dissertation, ETH Zürich. Accessed November 14, 2019. http://hdl.handle.net/20.500.11850/344762.

MLA Handbook (7^{th} Edition):

Wadehn, Federico. “State Space Methods with Applications in Biomedical Signal Processing.” 2019. Web. 14 Nov 2019.

Vancouver:

Wadehn F. State Space Methods with Applications in Biomedical Signal Processing. [Internet] [Doctoral dissertation]. ETH Zürich; 2019. [cited 2019 Nov 14]. 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

University of Colorado

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

Degree: PhD, 2019, University of Colorado

URL: https://scholar.colorado.edu/appm_gradetds/152

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Kightley, Eric Paul. “Stokes, Gauss, and Bayes Walk into a Bar...” 2019. Doctoral Dissertation, University of Colorado. Accessed November 14, 2019. https://scholar.colorado.edu/appm_gradetds/152.

MLA Handbook (7^{th} Edition):

Kightley, Eric Paul. “Stokes, Gauss, and Bayes Walk into a Bar...” 2019. Web. 14 Nov 2019.

Vancouver:

Kightley EP. Stokes, Gauss, and Bayes Walk into a Bar... [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2019 Nov 14]. 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