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You searched for subject:(Variational Learning Markov Logic Networks). Showing records 1 – 30 of 76393 total matches.

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University of Illinois – Urbana-Champaign

1. 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 13, 2019. http://hdl.handle.net/2142/32004.

MLA Handbook (7th Edition):

Choi, Jaesik. “Lifted Inference for Relational Hybrid Models.” 2012. Web. 13 Dec 2019.

Vancouver:

Choi J. Lifted Inference for Relational Hybrid Models. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Dec 13]. 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


University of Manchester

2. Al Shekaili, Dhahi Khalifa Dhahi. Integrating Linked Data Search Results Using Statistical Relational Learning Approaches.

Degree: 2017, University of Manchester

 Linked Data (LD) follows the web in providing low barriers to publication, and in deploying web-scale keyword search as a central way of identifying relevant… (more)

Subjects/Keywords: Linked Data Search; Markov Logic Networks; Probabilistic Soft Logic; Statistical Relational Learning

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APA (6th Edition):

Al Shekaili, D. K. D. (2017). Integrating Linked Data Search Results Using Statistical Relational Learning Approaches. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307430

Chicago Manual of Style (16th Edition):

Al Shekaili, Dhahi Khalifa Dhahi. “Integrating Linked Data Search Results Using Statistical Relational Learning Approaches.” 2017. Doctoral Dissertation, University of Manchester. Accessed December 13, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307430.

MLA Handbook (7th Edition):

Al Shekaili, Dhahi Khalifa Dhahi. “Integrating Linked Data Search Results Using Statistical Relational Learning Approaches.” 2017. Web. 13 Dec 2019.

Vancouver:

Al Shekaili DKD. Integrating Linked Data Search Results Using Statistical Relational Learning Approaches. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2019 Dec 13]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307430.

Council of Science Editors:

Al Shekaili DKD. Integrating Linked Data Search Results Using Statistical Relational Learning Approaches. [Doctoral Dissertation]. University of Manchester; 2017. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:307430


University of Manchester

3. Al Shekaili, Dhahi. Integrating Linked Data search results using statistical relational learning approaches.

Degree: PhD, 2017, University of Manchester

 Linked Data (LD) follows the web in providing low barriers to publication, and in deploying web-scale keyword search as a central way of identifying relevant… (more)

Subjects/Keywords: 005.7; Statistical Relational Learning; Probabilistic Soft Logic; Linked Data Search; Markov Logic Networks

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

APA (6th Edition):

Al Shekaili, D. (2017). Integrating Linked Data search results using statistical relational learning approaches. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/integrating-linked-data-search-results-using-statistical-relational-learning-approaches(3f77386b-a38a-4110-8ce1-bda6340e6f0b).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728176

Chicago Manual of Style (16th Edition):

Al Shekaili, Dhahi. “Integrating Linked Data search results using statistical relational learning approaches.” 2017. Doctoral Dissertation, University of Manchester. Accessed December 13, 2019. https://www.research.manchester.ac.uk/portal/en/theses/integrating-linked-data-search-results-using-statistical-relational-learning-approaches(3f77386b-a38a-4110-8ce1-bda6340e6f0b).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728176.

MLA Handbook (7th Edition):

Al Shekaili, Dhahi. “Integrating Linked Data search results using statistical relational learning approaches.” 2017. Web. 13 Dec 2019.

Vancouver:

Al Shekaili D. Integrating Linked Data search results using statistical relational learning approaches. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2019 Dec 13]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/integrating-linked-data-search-results-using-statistical-relational-learning-approaches(3f77386b-a38a-4110-8ce1-bda6340e6f0b).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728176.

Council of Science Editors:

Al Shekaili D. Integrating Linked Data search results using statistical relational learning approaches. [Doctoral Dissertation]. University of Manchester; 2017. Available from: https://www.research.manchester.ac.uk/portal/en/theses/integrating-linked-data-search-results-using-statistical-relational-learning-approaches(3f77386b-a38a-4110-8ce1-bda6340e6f0b).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728176

4. Dinh, Quang-Thang. Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks.

Degree: Docteur es, Informatique, 2011, Université d'Orléans

Un réseau logique de Markov est formé de clauses en logique du premier ordre auxquelles sont associés des poids. Cette thèse propose plusieurs méthodes pour… (more)

Subjects/Keywords: Réseaux logiques de Markov; Apprentissage de structure; Apprentissage statistique relationnel; Markov logic networks; Structure learning; Statistical relational learning

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APA (6th Edition):

Dinh, Q. (2011). Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks. (Doctoral Dissertation). Université d'Orléans. Retrieved from http://www.theses.fr/2011ORLE2047

Chicago Manual of Style (16th Edition):

Dinh, Quang-Thang. “Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks.” 2011. Doctoral Dissertation, Université d'Orléans. Accessed December 13, 2019. http://www.theses.fr/2011ORLE2047.

MLA Handbook (7th Edition):

Dinh, Quang-Thang. “Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks.” 2011. Web. 13 Dec 2019.

Vancouver:

Dinh Q. Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks. [Internet] [Doctoral dissertation]. Université d'Orléans; 2011. [cited 2019 Dec 13]. Available from: http://www.theses.fr/2011ORLE2047.

Council of Science Editors:

Dinh Q. Apprentissage statistique relationnel : apprentissage de structures de réseaux de Markov logiques : Statistical relational learning : Structure learning for Markov logic networks. [Doctoral Dissertation]. Université d'Orléans; 2011. Available from: http://www.theses.fr/2011ORLE2047

5. Silva, Victor Anselmo. Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados.

Degree: Mestrado, Engenharia de Controle e Automação Mecânica, 2010, University of São Paulo

Sistemas de computação têm se tornado maiores e mais complexos com o objetivo de lidar com a vasta quantidade de dados disponíveis. Uma tarefa decisiva… (more)

Subjects/Keywords: Aprendizado supervisionado; Classificadores; Classifiers; Learning; Markov logic networks; Redes lógicas de Markov; Semi-supervisionado com restrições; Semisupervised under constraints; Supervised

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APA (6th Edition):

Silva, V. A. (2010). Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3152/tde-18052011-151242/ ;

Chicago Manual of Style (16th Edition):

Silva, Victor Anselmo. “Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados.” 2010. Masters Thesis, University of São Paulo. Accessed December 13, 2019. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-18052011-151242/ ;.

MLA Handbook (7th Edition):

Silva, Victor Anselmo. “Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados.” 2010. Web. 13 Dec 2019.

Vancouver:

Silva VA. Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados. [Internet] [Masters thesis]. University of São Paulo; 2010. [cited 2019 Dec 13]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-18052011-151242/ ;.

Council of Science Editors:

Silva VA. Redes lógicas de Markov aplicadas ao aprendizado de classificadores automáticos de dados. [Masters Thesis]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-18052011-151242/ ;

6. Raiko, Tapani. Bayesian Inference in Nonlinear and Relational Latent Variable Models.

Degree: 2006, Helsinki University of Technology

Statistical data analysis is becoming more and more important when growing amounts of data are collected in various fields of life. Automated learning algorithms provide… (more)

Subjects/Keywords: machine learning; graphical models; probabilistic reasoning; nonlinear models; variational methods; state-space models; hidden Markov models; inductive logic programming; first-order logic; koneoppiminen; graafiset mallit; todennäköisyyslaskentaan perustuva päättely; epälineaariset mallit; variaatiomenetelmät; tila-avaruusmallit; piilo-Markov -malli; induktiivinen logiikkaohjelmointi; ensimmäisen kertaluvun logiikka

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APA (6th Edition):

Raiko, T. (2006). Bayesian Inference in Nonlinear and Relational Latent Variable Models. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2006/isbn951228510X/

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):

Raiko, Tapani. “Bayesian Inference in Nonlinear and Relational Latent Variable Models.” 2006. Thesis, Helsinki University of Technology. Accessed December 13, 2019. http://lib.tkk.fi/Diss/2006/isbn951228510X/.

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

MLA Handbook (7th Edition):

Raiko, Tapani. “Bayesian Inference in Nonlinear and Relational Latent Variable Models.” 2006. Web. 13 Dec 2019.

Vancouver:

Raiko T. Bayesian Inference in Nonlinear and Relational Latent Variable Models. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2019 Dec 13]. Available from: http://lib.tkk.fi/Diss/2006/isbn951228510X/.

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

Council of Science Editors:

Raiko T. Bayesian Inference in Nonlinear and Relational Latent Variable Models. [Thesis]. Helsinki University of Technology; 2006. Available from: http://lib.tkk.fi/Diss/2006/isbn951228510X/

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


Universidade Federal do Maranhão

7. LUCAS RÊGO DRUMOND. AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING.

Degree: 2009, Universidade Federal do Maranhão

Os formalismos de representação do conhecimento como as ontologias têm se mostrado uma poderosa ferramenta para melhorar a efetividade de sistemas de processamento da linguagem… (more)

Subjects/Keywords: Aprendizagem de ontologias; Aprendizagem estatística relacional; Ontology learning; Markov logic networks; LOGICAS E SEMANTICA DE PROGRAMAS; Aquisição de conhecimento; Redes lógicas de Markov; Knowledge acquisition; Statistical relational learning

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APA (6th Edition):

DRUMOND, L. R. (2009). AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING. (Thesis). Universidade Federal do Maranhão. Retrieved from http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=380

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):

DRUMOND, LUCAS RÊGO. “AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING.” 2009. Thesis, Universidade Federal do Maranhão. Accessed December 13, 2019. http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=380.

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

MLA Handbook (7th Edition):

DRUMOND, LUCAS RÊGO. “AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING.” 2009. Web. 13 Dec 2019.

Vancouver:

DRUMOND LR. AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING. [Internet] [Thesis]. Universidade Federal do Maranhão; 2009. [cited 2019 Dec 13]. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=380.

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

Council of Science Editors:

DRUMOND LR. AUTOMATED ACQUISITION OF CONCEPTS OF HIERARCHIES ONTOLOGY USING STATISTICAL RELATIONAL LEARNING. [Thesis]. Universidade Federal do Maranhão; 2009. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=380

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


University of Florida

8. Yuksel,Seniha E. Context-Based Classification Via Data-Dependent Mixtures of Logistic and Hidden Markov Model Classifiers.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

 This research addresses the problems encountered when designing classifiers for classes that contain multiple subclasses whose characteristics are dependent on the context. It is sometimes… (more)

Subjects/Keywords: Datasets; Information classification; Land mines; Learning; Log integral function; Machine learning; Markov models; Neural networks; Time series; Time series models; based  – classification  – context  – experts  – hidden  – hmm  – markov  – me  – mhmme  – mixture  – model  – variational  – vmec

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

APA (6th Edition):

E, Y. (2011). Context-Based Classification Via Data-Dependent Mixtures of Logistic and Hidden Markov Model Classifiers. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043347

Chicago Manual of Style (16th Edition):

E, Yuksel,Seniha. “Context-Based Classification Via Data-Dependent Mixtures of Logistic and Hidden Markov Model Classifiers.” 2011. Doctoral Dissertation, University of Florida. Accessed December 13, 2019. http://ufdc.ufl.edu/UFE0043347.

MLA Handbook (7th Edition):

E, Yuksel,Seniha. “Context-Based Classification Via Data-Dependent Mixtures of Logistic and Hidden Markov Model Classifiers.” 2011. Web. 13 Dec 2019.

Vancouver:

E Y. Context-Based Classification Via Data-Dependent Mixtures of Logistic and Hidden Markov Model Classifiers. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Dec 13]. Available from: http://ufdc.ufl.edu/UFE0043347.

Council of Science Editors:

E Y. Context-Based Classification Via Data-Dependent Mixtures of Logistic and Hidden Markov Model Classifiers. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043347


University of Waterloo

9. Pallikara Bahuleyan, Hareesh. Natural Language Generation with Neural Variational Models.

Degree: 2018, University of Waterloo

 Automatic generation of text is an important topic in natural language processing with applications in tasks such as machine translation and text summarization. In this… (more)

Subjects/Keywords: natural; language; neural; variational; deep neural networks; machine learning; text generation

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APA (6th Edition):

Pallikara Bahuleyan, H. (2018). Natural Language Generation with Neural Variational Models. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13573

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):

Pallikara Bahuleyan, Hareesh. “Natural Language Generation with Neural Variational Models.” 2018. Thesis, University of Waterloo. Accessed December 13, 2019. http://hdl.handle.net/10012/13573.

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

MLA Handbook (7th Edition):

Pallikara Bahuleyan, Hareesh. “Natural Language Generation with Neural Variational Models.” 2018. Web. 13 Dec 2019.

Vancouver:

Pallikara Bahuleyan H. Natural Language Generation with Neural Variational Models. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10012/13573.

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

Council of Science Editors:

Pallikara Bahuleyan H. Natural Language Generation with Neural Variational Models. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13573

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


University of Cambridge

10. McClure, Patrick. Adapting deep neural networks as models of human visual perception.

Degree: PhD, 2018, University of Cambridge

 Deep neural networks (DNNs) have recently been used to solve complex perceptual and decision tasks. In particular, convolutional neural networks (CNN) have been extremely successful… (more)

Subjects/Keywords: deep neural networks; visual perception; bayesian neural networks; transfer learning; computational neuroscience; variational inference

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APA (6th Edition):

McClure, P. (2018). Adapting deep neural networks as models of human visual perception. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/278073 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753377

Chicago Manual of Style (16th Edition):

McClure, Patrick. “Adapting deep neural networks as models of human visual perception.” 2018. Doctoral Dissertation, University of Cambridge. Accessed December 13, 2019. https://www.repository.cam.ac.uk/handle/1810/278073 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753377.

MLA Handbook (7th Edition):

McClure, Patrick. “Adapting deep neural networks as models of human visual perception.” 2018. Web. 13 Dec 2019.

Vancouver:

McClure P. Adapting deep neural networks as models of human visual perception. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2019 Dec 13]. Available from: https://www.repository.cam.ac.uk/handle/1810/278073 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753377.

Council of Science Editors:

McClure P. Adapting deep neural networks as models of human visual perception. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/278073 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753377


University of California – San Diego

11. Li, Weixin. Visual Understanding of Complex Human Behavior via Attribute Dynamics.

Degree: Electrical Engineering (Signal and Image Proc), 2016, University of California – San Diego

 Visual understanding of human behavior in video sequences is one of the fundamental topics in computational vision. Being a sequential signal by nature, most critical… (more)

Subjects/Keywords: Computer science; Action Recognition; Artificial Intelligence; Computer Vision; Dynamic Bayesian Networks; Machine Learning; Variational Inference

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APA (6th Edition):

Li, W. (2016). Visual Understanding of Complex Human Behavior via Attribute Dynamics. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/0sm5h465

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

Chicago Manual of Style (16th Edition):

Li, Weixin. “Visual Understanding of Complex Human Behavior via Attribute Dynamics.” 2016. Thesis, University of California – San Diego. Accessed December 13, 2019. http://www.escholarship.org/uc/item/0sm5h465.

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

MLA Handbook (7th Edition):

Li, Weixin. “Visual Understanding of Complex Human Behavior via Attribute Dynamics.” 2016. Web. 13 Dec 2019.

Vancouver:

Li W. Visual Understanding of Complex Human Behavior via Attribute Dynamics. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2019 Dec 13]. Available from: http://www.escholarship.org/uc/item/0sm5h465.

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

Council of Science Editors:

Li W. Visual Understanding of Complex Human Behavior via Attribute Dynamics. [Thesis]. University of California – San Diego; 2016. Available from: http://www.escholarship.org/uc/item/0sm5h465

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


Georgia Tech

12. Zhang, Xin. Combining logical and probabilistic reasoning in program analysis.

Degree: PhD, Computer Science, 2017, Georgia Tech

 Software is becoming increasingly pervasive and complex. These trends expose masses of users to unintended software failures and deliberate cyber-attacks. A widely adopted solution to… (more)

Subjects/Keywords: Program analysis; Logic; Probability; Combined logical and probabilistic reasoning; Markov logic networks; Datalog; MaxSAT; Verification; Bug finding; Programming languages; Software engineering

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APA (6th Edition):

Zhang, X. (2017). Combining logical and probabilistic reasoning in program analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59200

Chicago Manual of Style (16th Edition):

Zhang, Xin. “Combining logical and probabilistic reasoning in program analysis.” 2017. Doctoral Dissertation, Georgia Tech. Accessed December 13, 2019. http://hdl.handle.net/1853/59200.

MLA Handbook (7th Edition):

Zhang, Xin. “Combining logical and probabilistic reasoning in program analysis.” 2017. Web. 13 Dec 2019.

Vancouver:

Zhang X. Combining logical and probabilistic reasoning in program analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1853/59200.

Council of Science Editors:

Zhang X. Combining logical and probabilistic reasoning in program analysis. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59200


KTH

13. Back, Alexander. Bayesian Neural Networks for Financial Asset Forecasting.

Degree: Mathematical Statistics, 2019, KTH

Neural networks are powerful tools for modelling complex non-linear mappings, but they often suffer from overfitting and provide no measures of uncertainty in their… (more)

Subjects/Keywords: Bayesian neural networks; variational inference; Markov chain Monte Carlo; dropout; systematic trading; futures contracts; Bayesianska neurala nätverk; variational inference; Markov chain Monte Carlo; dropout; systematisk trading; terminskontrakt; Probability Theory and Statistics; Sannolikhetsteori och statistik

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

APA (6th Edition):

Back, A. (2019). Bayesian Neural Networks for Financial Asset Forecasting. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252562

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):

Back, Alexander. “Bayesian Neural Networks for Financial Asset Forecasting.” 2019. Thesis, KTH. Accessed December 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252562.

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

MLA Handbook (7th Edition):

Back, Alexander. “Bayesian Neural Networks for Financial Asset Forecasting.” 2019. Web. 13 Dec 2019.

Vancouver:

Back A. Bayesian Neural Networks for Financial Asset Forecasting. [Internet] [Thesis]. KTH; 2019. [cited 2019 Dec 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252562.

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

Council of Science Editors:

Back A. Bayesian Neural Networks for Financial Asset Forecasting. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252562

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

14. Skarlatidis, Anastasios. Event recognition under uncertainty and incomplete data.

Degree: 2014, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς

Symbolic event recognition systems have been successfully applied to a variety of application domains, extracting useful information in the form of events, allowing experts or… (more)

Subjects/Keywords: Αναγνώριση συμβάντων; Επεξεργασία πολύπλοκων συμβάντων; Λογικά Δύκτια Μάρκοβ; Πιθανοτικός λογικός προγραμματισμός; Λογισμός συμβάντων; Χρονική λογική; Event recognition; Complex event processing; Markov logic networks; Probabilistic logic programming; Event calculus; Temporal logic

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

APA (6th Edition):

Skarlatidis, A. (2014). Event recognition under uncertainty and incomplete data. (Thesis). University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Retrieved from http://hdl.handle.net/10442/hedi/35692

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):

Skarlatidis, Anastasios. “Event recognition under uncertainty and incomplete data.” 2014. Thesis, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Accessed December 13, 2019. http://hdl.handle.net/10442/hedi/35692.

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

MLA Handbook (7th Edition):

Skarlatidis, Anastasios. “Event recognition under uncertainty and incomplete data.” 2014. Web. 13 Dec 2019.

Vancouver:

Skarlatidis A. Event recognition under uncertainty and incomplete data. [Internet] [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2014. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10442/hedi/35692.

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

Council of Science Editors:

Skarlatidis A. Event recognition under uncertainty and incomplete data. [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2014. Available from: http://hdl.handle.net/10442/hedi/35692

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


University of Oxford

15. Lienart, Thibaut. Inference on Markov random fields : methods and applications.

Degree: PhD, 2017, University of Oxford

 This thesis considers the problem of performing inference on undirected graphical models with continuous state spaces. These models represent conditional independence structures that can appear… (more)

Subjects/Keywords: Machine learning; Bayesian statistics; Computational statistics; Sampling Methods; Expectation Propagation; Markov Random Fields; Bouncy Particle Sampler; Computational Bayesian Statistics; Variational Inference; Bayesian Machine Learning

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

APA (6th Edition):

Lienart, T. (2017). Inference on Markov random fields : methods and applications. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:3095b14c-98fb-4bda-affc-a1fa1708f628 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748731

Chicago Manual of Style (16th Edition):

Lienart, Thibaut. “Inference on Markov random fields : methods and applications.” 2017. Doctoral Dissertation, University of Oxford. Accessed December 13, 2019. http://ora.ox.ac.uk/objects/uuid:3095b14c-98fb-4bda-affc-a1fa1708f628 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748731.

MLA Handbook (7th Edition):

Lienart, Thibaut. “Inference on Markov random fields : methods and applications.” 2017. Web. 13 Dec 2019.

Vancouver:

Lienart T. Inference on Markov random fields : methods and applications. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2019 Dec 13]. Available from: http://ora.ox.ac.uk/objects/uuid:3095b14c-98fb-4bda-affc-a1fa1708f628 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748731.

Council of Science Editors:

Lienart T. Inference on Markov random fields : methods and applications. [Doctoral Dissertation]. University of Oxford; 2017. Available from: http://ora.ox.ac.uk/objects/uuid:3095b14c-98fb-4bda-affc-a1fa1708f628 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748731


De Montfort University

16. Shell, Jethro. Fuzzy transfer learning.

Degree: PhD, 2013, De Montfort University

 The use of machine learning to predict output from data, using a model, is a well studied area. There are, however, a number of real-world… (more)

Subjects/Keywords: 006.3; Transfer Learning; fuzzy logic; adaptive; online learning; context; domain adaptation; intelligent environments; sensor networks

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

APA (6th Edition):

Shell, J. (2013). Fuzzy transfer learning. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/8842

Chicago Manual of Style (16th Edition):

Shell, Jethro. “Fuzzy transfer learning.” 2013. Doctoral Dissertation, De Montfort University. Accessed December 13, 2019. http://hdl.handle.net/2086/8842.

MLA Handbook (7th Edition):

Shell, Jethro. “Fuzzy transfer learning.” 2013. Web. 13 Dec 2019.

Vancouver:

Shell J. Fuzzy transfer learning. [Internet] [Doctoral dissertation]. De Montfort University; 2013. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/2086/8842.

Council of Science Editors:

Shell J. Fuzzy transfer learning. [Doctoral Dissertation]. De Montfort University; 2013. Available from: http://hdl.handle.net/2086/8842

17. Yoshikawa, Katsumasa. 確率的論理による事象構造解析 : Probabilistic Logic Approach to Event Structure Analysis; カクリツテキ ロンリ ニヨル ジショウ コウゾウ カイセキ.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

Subjects/Keywords: markov logic

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

APA (6th Edition):

Yoshikawa, K. (n.d.). 確率的論理による事象構造解析 : Probabilistic Logic Approach to Event Structure Analysis; カクリツテキ ロンリ ニヨル ジショウ コウゾウ カイセキ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/6632

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yoshikawa, Katsumasa. “確率的論理による事象構造解析 : Probabilistic Logic Approach to Event Structure Analysis; カクリツテキ ロンリ ニヨル ジショウ コウゾウ カイセキ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed December 13, 2019. http://hdl.handle.net/10061/6632.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yoshikawa, Katsumasa. “確率的論理による事象構造解析 : Probabilistic Logic Approach to Event Structure Analysis; カクリツテキ ロンリ ニヨル ジショウ コウゾウ カイセキ.” Web. 13 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Yoshikawa K. 確率的論理による事象構造解析 : Probabilistic Logic Approach to Event Structure Analysis; カクリツテキ ロンリ ニヨル ジショウ コウゾウ カイセキ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10061/6632.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Yoshikawa K. 確率的論理による事象構造解析 : Probabilistic Logic Approach to Event Structure Analysis; カクリツテキ ロンリ ニヨル ジショウ コウゾウ カイセキ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/6632

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

18. Osman, Julien. Connaissances expertes et modélisation pour l'exploitation d'images d'observation de la Terre à hautes résolutions spatiale, spectrale et temporelle : Expert knowledge and modeling for the exploitation of earth observation images with a high spatial, spectral and temporal resolution.

Degree: Docteur es, Océan, atmosphère et surfaces continentales, 2015, Université Toulouse III – Paul Sabatier

Les futures missions spatiales d'observation de la Terre, Venµs et Sentinelle (1 et 2), fourniront un flot de données inédit en termes de résolution spatiale,… (more)

Subjects/Keywords: Connaissances expertes; Télédétection; Markov logic

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APA (6th Edition):

Osman, J. (2015). Connaissances expertes et modélisation pour l'exploitation d'images d'observation de la Terre à hautes résolutions spatiale, spectrale et temporelle : Expert knowledge and modeling for the exploitation of earth observation images with a high spatial, spectral and temporal resolution. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2015TOU30022

Chicago Manual of Style (16th Edition):

Osman, Julien. “Connaissances expertes et modélisation pour l'exploitation d'images d'observation de la Terre à hautes résolutions spatiale, spectrale et temporelle : Expert knowledge and modeling for the exploitation of earth observation images with a high spatial, spectral and temporal resolution.” 2015. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed December 13, 2019. http://www.theses.fr/2015TOU30022.

MLA Handbook (7th Edition):

Osman, Julien. “Connaissances expertes et modélisation pour l'exploitation d'images d'observation de la Terre à hautes résolutions spatiale, spectrale et temporelle : Expert knowledge and modeling for the exploitation of earth observation images with a high spatial, spectral and temporal resolution.” 2015. Web. 13 Dec 2019.

Vancouver:

Osman J. Connaissances expertes et modélisation pour l'exploitation d'images d'observation de la Terre à hautes résolutions spatiale, spectrale et temporelle : Expert knowledge and modeling for the exploitation of earth observation images with a high spatial, spectral and temporal resolution. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2015. [cited 2019 Dec 13]. Available from: http://www.theses.fr/2015TOU30022.

Council of Science Editors:

Osman J. Connaissances expertes et modélisation pour l'exploitation d'images d'observation de la Terre à hautes résolutions spatiale, spectrale et temporelle : Expert knowledge and modeling for the exploitation of earth observation images with a high spatial, spectral and temporal resolution. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2015. Available from: http://www.theses.fr/2015TOU30022


University of Colorado

19. Aicher, Christopher Vinyu. The Weighted Stochastic Block Model.

Degree: MS, Applied Mathematics, 2014, University of Colorado

  Community detection is an important task in network analysis, in which we aim to learn a network partition that groups together vertices with similar… (more)

Subjects/Keywords: Bayesian; Community Detection; Generative Models; Machine Learning; Networks; Variational Inference; Applied Mathematics; Computer Sciences; Statistics and Probability; Theory and Algorithms

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

APA (6th Edition):

Aicher, C. V. (2014). The Weighted Stochastic Block Model. (Masters Thesis). University of Colorado. Retrieved from http://scholar.colorado.edu/appm_gradetds/50

Chicago Manual of Style (16th Edition):

Aicher, Christopher Vinyu. “The Weighted Stochastic Block Model.” 2014. Masters Thesis, University of Colorado. Accessed December 13, 2019. http://scholar.colorado.edu/appm_gradetds/50.

MLA Handbook (7th Edition):

Aicher, Christopher Vinyu. “The Weighted Stochastic Block Model.” 2014. Web. 13 Dec 2019.

Vancouver:

Aicher CV. The Weighted Stochastic Block Model. [Internet] [Masters thesis]. University of Colorado; 2014. [cited 2019 Dec 13]. Available from: http://scholar.colorado.edu/appm_gradetds/50.

Council of Science Editors:

Aicher CV. The Weighted Stochastic Block Model. [Masters Thesis]. University of Colorado; 2014. Available from: http://scholar.colorado.edu/appm_gradetds/50


University of Cambridge

20. van der Wilk, Mark. Sparse Gaussian process approximations and applications.

Degree: PhD, 2019, University of Cambridge

 Many tasks in machine learning require learning some kind of input-output relation (function), for example, recognising handwritten digits (from image to number) or learning the… (more)

Subjects/Keywords: machine learning; gaussian processes; convolutional neural networks; bayes; variational inference; invariance; convolutional gaussian processes; uncertainty; non-parametric

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

APA (6th Edition):

van der Wilk, M. (2019). Sparse Gaussian process approximations and applications. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/288347 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763795

Chicago Manual of Style (16th Edition):

van der Wilk, Mark. “Sparse Gaussian process approximations and applications.” 2019. Doctoral Dissertation, University of Cambridge. Accessed December 13, 2019. https://www.repository.cam.ac.uk/handle/1810/288347 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763795.

MLA Handbook (7th Edition):

van der Wilk, Mark. “Sparse Gaussian process approximations and applications.” 2019. Web. 13 Dec 2019.

Vancouver:

van der Wilk M. Sparse Gaussian process approximations and applications. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2019 Dec 13]. Available from: https://www.repository.cam.ac.uk/handle/1810/288347 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763795.

Council of Science Editors:

van der Wilk M. Sparse Gaussian process approximations and applications. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/288347 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763795

21. Truzzi, Flávio Sales. Modelagem e soluções para redes de anúncios.

Degree: Mestrado, Sistemas Digitais, 2014, University of São Paulo

Redes de Anúncios (Ad Networks) são redes que promovem a distribuição de anúncios pela internet, de forma a maximizar o lucro total gerado pela exibição… (more)

Subjects/Keywords: Ad Networks; Aprendizado por reforço; Artificial inteligence; Inteligência artificial; Markov Decision Processes; Processos de decisão Markov; Redes de anúncios; Reinforcement learning

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

APA (6th Edition):

Truzzi, F. S. (2014). Modelagem e soluções para redes de anúncios. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3141/tde-24042015-113950/ ;

Chicago Manual of Style (16th Edition):

Truzzi, Flávio Sales. “Modelagem e soluções para redes de anúncios.” 2014. Masters Thesis, University of São Paulo. Accessed December 13, 2019. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-24042015-113950/ ;.

MLA Handbook (7th Edition):

Truzzi, Flávio Sales. “Modelagem e soluções para redes de anúncios.” 2014. Web. 13 Dec 2019.

Vancouver:

Truzzi FS. Modelagem e soluções para redes de anúncios. [Internet] [Masters thesis]. University of São Paulo; 2014. [cited 2019 Dec 13]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3141/tde-24042015-113950/ ;.

Council of Science Editors:

Truzzi FS. Modelagem e soluções para redes de anúncios. [Masters Thesis]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/3/3141/tde-24042015-113950/ ;


Virginia Tech

22. Abdallah AbouSheaisha, Abdallah Sabry. Cross-layer Control for Adaptive Video Streaming over Wireless Access Networks.

Degree: PhD, Electrical and ComputerEngineering, 2016, Virginia Tech

 Over the last decade, the wide deployment of wireless access technologies (e.g. WiFi, 3G, and LTE) and the remarkable growth in the volume of streaming… (more)

Subjects/Keywords: Wireless Networks; Cross-layer Optimization; HTTP Adaptive Video Streaming; Markov Decision Processes; Reinforcement Learning

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

APA (6th Edition):

Abdallah AbouSheaisha, A. S. (2016). Cross-layer Control for Adaptive Video Streaming over Wireless Access Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78844

Chicago Manual of Style (16th Edition):

Abdallah AbouSheaisha, Abdallah Sabry. “Cross-layer Control for Adaptive Video Streaming over Wireless Access Networks.” 2016. Doctoral Dissertation, Virginia Tech. Accessed December 13, 2019. http://hdl.handle.net/10919/78844.

MLA Handbook (7th Edition):

Abdallah AbouSheaisha, Abdallah Sabry. “Cross-layer Control for Adaptive Video Streaming over Wireless Access Networks.” 2016. Web. 13 Dec 2019.

Vancouver:

Abdallah AbouSheaisha AS. Cross-layer Control for Adaptive Video Streaming over Wireless Access Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10919/78844.

Council of Science Editors:

Abdallah AbouSheaisha AS. Cross-layer Control for Adaptive Video Streaming over Wireless Access Networks. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/78844


Texas State University – San Marcos

23. Dunstatter, Noah. Solving Cyber-Alert Allocation Markov Games with Deep Reinforcement Learning.

Degree: MS, Computer Science, 2019, Texas State University – San Marcos

 Most large scale networks employ some kind of intrusion detection software on their computer systems (e.g., servers, routers, etc.) that monitor and flag suspicious or… (more)

Subjects/Keywords: Game theory; Network security; Reinforcement learning; Machine learning; Markov games; Cyber alert allocation; Computer networks – Security measures; Game theory – Computer programs

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

APA (6th Edition):

Dunstatter, N. (2019). Solving Cyber-Alert Allocation Markov Games with Deep Reinforcement Learning. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/8144

Chicago Manual of Style (16th Edition):

Dunstatter, Noah. “Solving Cyber-Alert Allocation Markov Games with Deep Reinforcement Learning.” 2019. Masters Thesis, Texas State University – San Marcos. Accessed December 13, 2019. https://digital.library.txstate.edu/handle/10877/8144.

MLA Handbook (7th Edition):

Dunstatter, Noah. “Solving Cyber-Alert Allocation Markov Games with Deep Reinforcement Learning.” 2019. Web. 13 Dec 2019.

Vancouver:

Dunstatter N. Solving Cyber-Alert Allocation Markov Games with Deep Reinforcement Learning. [Internet] [Masters thesis]. Texas State University – San Marcos; 2019. [cited 2019 Dec 13]. Available from: https://digital.library.txstate.edu/handle/10877/8144.

Council of Science Editors:

Dunstatter N. Solving Cyber-Alert Allocation Markov Games with Deep Reinforcement Learning. [Masters Thesis]. Texas State University – San Marcos; 2019. Available from: https://digital.library.txstate.edu/handle/10877/8144

24. Ochoa Luna, José Eduardo. Lógicas probabilísticas com relações de independência: representação de conhecimento e aprendizado de máquina.

Degree: PhD, Engenharia de Controle e Automação Mecânica, 2011, University of São Paulo

A combinação de lógica e probabilidade (lógicas probabilísticas) tem sido um tópico bastante estudado nas últimas décadas. A maioria de propostas para estes formalismos pressupõem… (more)

Subjects/Keywords: Aprendizado de lógica de descrição; Description logic learning; Incerteza; Inductive logic programming; Lógica probabilística; Probabilistic logic; programação em lógica indutiva; Redes Bayesianas relacionais; Relational Bayesian networks; Uncertainty

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

APA (6th Edition):

Ochoa Luna, J. E. (2011). Lógicas probabilísticas com relações de independência: representação de conhecimento e aprendizado de máquina. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3152/tde-17082011-090935/ ;

Chicago Manual of Style (16th Edition):

Ochoa Luna, José Eduardo. “Lógicas probabilísticas com relações de independência: representação de conhecimento e aprendizado de máquina.” 2011. Doctoral Dissertation, University of São Paulo. Accessed December 13, 2019. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-17082011-090935/ ;.

MLA Handbook (7th Edition):

Ochoa Luna, José Eduardo. “Lógicas probabilísticas com relações de independência: representação de conhecimento e aprendizado de máquina.” 2011. Web. 13 Dec 2019.

Vancouver:

Ochoa Luna JE. Lógicas probabilísticas com relações de independência: representação de conhecimento e aprendizado de máquina. [Internet] [Doctoral dissertation]. University of São Paulo; 2011. [cited 2019 Dec 13]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-17082011-090935/ ;.

Council of Science Editors:

Ochoa Luna JE. Lógicas probabilísticas com relações de independência: representação de conhecimento e aprendizado de máquina. [Doctoral Dissertation]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-17082011-090935/ ;


Université de Montréal

25. Goodfellow, Ian. Deep learning of representations and its application to computer vision .

Degree: 2015, Université de Montréal

 L’objectif de cette thèse par articles est de présenter modestement quelques étapes du parcours qui mènera (on espère) à une solution générale du problème de… (more)

Subjects/Keywords: réseau de neurones; apprentissage profond; apprentissage non supervisé; apprentissage supervisé; apprentissage semi-supervisé; machines de Boltzmann; les modèles basés sur l’énergie; l’inference variationnel; l’apprentissage variationnel; le codage parcimonieux; neural networks; deep learning; unsupervised learning; supervised learning; semi-supervised learning; Boltzmann machines; energy-based models; variational inference; variational learning; sparse coding

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

APA (6th Edition):

Goodfellow, I. (2015). Deep learning of representations and its application to computer vision . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/11674

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):

Goodfellow, Ian. “Deep learning of representations and its application to computer vision .” 2015. Thesis, Université de Montréal. Accessed December 13, 2019. http://hdl.handle.net/1866/11674.

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

MLA Handbook (7th Edition):

Goodfellow, Ian. “Deep learning of representations and its application to computer vision .” 2015. Web. 13 Dec 2019.

Vancouver:

Goodfellow I. Deep learning of representations and its application to computer vision . [Internet] [Thesis]. Université de Montréal; 2015. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1866/11674.

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

Council of Science Editors:

Goodfellow I. Deep learning of representations and its application to computer vision . [Thesis]. Université de Montréal; 2015. Available from: http://hdl.handle.net/1866/11674

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


Princeton University

26. Ranganath, Rajesh. Black Box Variational Inference: Scalable, Generic Bayesian Computation and its Applications .

Degree: PhD, 2017, Princeton University

 Probabilistic generative models are robust to noise, uncover unseen patterns, and make predictions about the future. These models have been used successfully to solve problems… (more)

Subjects/Keywords: Bayesian Statistics; Machine Learning; Variational Inference

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APA (6th Edition):

Ranganath, R. (2017). Black Box Variational Inference: Scalable, Generic Bayesian Computation and its Applications . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01pr76f608w

Chicago Manual of Style (16th Edition):

Ranganath, Rajesh. “Black Box Variational Inference: Scalable, Generic Bayesian Computation and its Applications .” 2017. Doctoral Dissertation, Princeton University. Accessed December 13, 2019. http://arks.princeton.edu/ark:/88435/dsp01pr76f608w.

MLA Handbook (7th Edition):

Ranganath, Rajesh. “Black Box Variational Inference: Scalable, Generic Bayesian Computation and its Applications .” 2017. Web. 13 Dec 2019.

Vancouver:

Ranganath R. Black Box Variational Inference: Scalable, Generic Bayesian Computation and its Applications . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2019 Dec 13]. Available from: http://arks.princeton.edu/ark:/88435/dsp01pr76f608w.

Council of Science Editors:

Ranganath R. Black Box Variational Inference: Scalable, Generic Bayesian Computation and its Applications . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp01pr76f608w


Georgia Tech

27. Paarporn, Keith. Dynamics of epidemic spreading over networks with agent awareness.

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

 We study an SIS (susceptible-infected-susceptible) model of disease spread over a contact network of n agents. The agents receive personalized information about the epidemic through… (more)

Subjects/Keywords: Epidemics; Networks; Markov chains

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

APA (6th Edition):

Paarporn, K. (2016). Dynamics of epidemic spreading over networks with agent awareness. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55676

Chicago Manual of Style (16th Edition):

Paarporn, Keith. “Dynamics of epidemic spreading over networks with agent awareness.” 2016. Masters Thesis, Georgia Tech. Accessed December 13, 2019. http://hdl.handle.net/1853/55676.

MLA Handbook (7th Edition):

Paarporn, Keith. “Dynamics of epidemic spreading over networks with agent awareness.” 2016. Web. 13 Dec 2019.

Vancouver:

Paarporn K. Dynamics of epidemic spreading over networks with agent awareness. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1853/55676.

Council of Science Editors:

Paarporn K. Dynamics of epidemic spreading over networks with agent awareness. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55676


University of Hawaii – Manoa

28. Altunkaya, Ali. Multiscale community detection using markov dynamics.

Degree: 2015, University of Hawaii – Manoa

M.S. University of Hawaii at Manoa 2014.

Complex networks is an interdisciplinary research area getting attention from a variety of disciplines including sociology, biology, and… (more)

Subjects/Keywords: Markov dynamics; Complex networks

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

APA (6th Edition):

Altunkaya, A. (2015). Multiscale community detection using markov dynamics. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/100263

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):

Altunkaya, Ali. “Multiscale community detection using markov dynamics.” 2015. Thesis, University of Hawaii – Manoa. Accessed December 13, 2019. http://hdl.handle.net/10125/100263.

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

MLA Handbook (7th Edition):

Altunkaya, Ali. “Multiscale community detection using markov dynamics.” 2015. Web. 13 Dec 2019.

Vancouver:

Altunkaya A. Multiscale community detection using markov dynamics. [Internet] [Thesis]. University of Hawaii – Manoa; 2015. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10125/100263.

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

Council of Science Editors:

Altunkaya A. Multiscale community detection using markov dynamics. [Thesis]. University of Hawaii – Manoa; 2015. Available from: http://hdl.handle.net/10125/100263

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


University of Toledo

29. Junuthula, Ruthwik Reddy. Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis.

Degree: PhD, Engineering, 2018, University of Toledo

 Many application settings involve the analysis of timestamped relations or events between a set of entities, e.g. messages between users of an on-line social network.… (more)

Subjects/Keywords: Computer Science; Mathematics; Sociology; Statistics; Variational Inference; Social Network Analysis; Continuous Time Network Models; Machine Learning; Stochastic Block Model; Local Search; Interaction Networks; Link Prediction

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

APA (6th Edition):

Junuthula, R. R. (2018). Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249

Chicago Manual of Style (16th Edition):

Junuthula, Ruthwik Reddy. “Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis.” 2018. Doctoral Dissertation, University of Toledo. Accessed December 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249.

MLA Handbook (7th Edition):

Junuthula, Ruthwik Reddy. “Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis.” 2018. Web. 13 Dec 2019.

Vancouver:

Junuthula RR. Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis. [Internet] [Doctoral dissertation]. University of Toledo; 2018. [cited 2019 Dec 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249.

Council of Science Editors:

Junuthula RR. Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis. [Doctoral Dissertation]. University of Toledo; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249

30. Mendes, Pedro Rosário. Building a person home behavior model based on data from smart house sensors 2015.

Degree: 2015, Repositório Científico do Instituto Politécnico de Lisboa

Dissertação para a obtenção do grau de Mestre em Engenharia Electrotécnica Ramo de Energia

O propósito deste trabalho é construir um modelo baseado em informação… (more)

Subjects/Keywords: Sensors; Smart house; Store information; Activities; Behavior; Cameras; ID3 algorithm; Fuzzy logic; Neural networks; Neural-fuzzy; Markov chain Monte Carlo; Communication protocols; Database; Text files; CSV files

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

APA (6th Edition):

Mendes, P. R. (2015). Building a person home behavior model based on data from smart house sensors 2015. (Thesis). Repositório Científico do Instituto Politécnico de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5931

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):

Mendes, Pedro Rosário. “Building a person home behavior model based on data from smart house sensors 2015.” 2015. Thesis, Repositório Científico do Instituto Politécnico de Lisboa. Accessed December 13, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5931.

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

MLA Handbook (7th Edition):

Mendes, Pedro Rosário. “Building a person home behavior model based on data from smart house sensors 2015.” 2015. Web. 13 Dec 2019.

Vancouver:

Mendes PR. Building a person home behavior model based on data from smart house sensors 2015. [Internet] [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2015. [cited 2019 Dec 13]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5931.

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

Council of Science Editors:

Mendes PR. Building a person home behavior model based on data from smart house sensors 2015. [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5931

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

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