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You searched for subject:(Bayesian networks). Showing records 91 – 120 of 504 total matches.

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North Carolina State University

91. Williams, Lloyd Carter. Augmentation of Intrusion Detection Systems Through the Use of Bayesian Network Analysis.

Degree: MS, Computer Science, 2006, North Carolina State University

 The purpose of this research has been to increase the effectiveness of Intrusion Detection Systems in the enforcement of computer security. Current preventative security measures… (more)

Subjects/Keywords: Intrusion Detection Systems; Bayesian Networks

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

APA (6th Edition):

Williams, L. C. (2006). Augmentation of Intrusion Detection Systems Through the Use of Bayesian Network Analysis. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1000

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):

Williams, Lloyd Carter. “Augmentation of Intrusion Detection Systems Through the Use of Bayesian Network Analysis.” 2006. Thesis, North Carolina State University. Accessed August 23, 2019. http://www.lib.ncsu.edu/resolver/1840.16/1000.

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

MLA Handbook (7th Edition):

Williams, Lloyd Carter. “Augmentation of Intrusion Detection Systems Through the Use of Bayesian Network Analysis.” 2006. Web. 23 Aug 2019.

Vancouver:

Williams LC. Augmentation of Intrusion Detection Systems Through the Use of Bayesian Network Analysis. [Internet] [Thesis]. North Carolina State University; 2006. [cited 2019 Aug 23]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1000.

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

Council of Science Editors:

Williams LC. Augmentation of Intrusion Detection Systems Through the Use of Bayesian Network Analysis. [Thesis]. North Carolina State University; 2006. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1000

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

92. Fast, Andrew Scott. Learning the Structure of Bayesian Networks with Constraint Satisfaction.

Degree: PhD, Computer Science, 2010, U of Massachusetts : PhD

 A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains.… (more)

Subjects/Keywords: Bayesian networks; Constraint satisfaction; Constraint-based; Structure learning; Computer Sciences

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APA (6th Edition):

Fast, A. S. (2010). Learning the Structure of Bayesian Networks with Constraint Satisfaction. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/182

Chicago Manual of Style (16th Edition):

Fast, Andrew Scott. “Learning the Structure of Bayesian Networks with Constraint Satisfaction.” 2010. Doctoral Dissertation, U of Massachusetts : PhD. Accessed August 23, 2019. https://scholarworks.umass.edu/open_access_dissertations/182.

MLA Handbook (7th Edition):

Fast, Andrew Scott. “Learning the Structure of Bayesian Networks with Constraint Satisfaction.” 2010. Web. 23 Aug 2019.

Vancouver:

Fast AS. Learning the Structure of Bayesian Networks with Constraint Satisfaction. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2010. [cited 2019 Aug 23]. Available from: https://scholarworks.umass.edu/open_access_dissertations/182.

Council of Science Editors:

Fast AS. Learning the Structure of Bayesian Networks with Constraint Satisfaction. [Doctoral Dissertation]. U of Massachusetts : PhD; 2010. Available from: https://scholarworks.umass.edu/open_access_dissertations/182


Boston University

93. Joshi, Ajjen Das. Personalized face and gesture analysis using hierarchical neural networks.

Degree: PhD, Computer Science, 2018, Boston University

 The video-based computational analyses of human face and gesture signals encompass a myriad of challenging research problems involving computer vision, machine learning and human computer… (more)

Subjects/Keywords: Computer science; Face analysis; Gesture analysis; Hierarchical Bayesian neural networks; Personalization

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APA (6th Edition):

Joshi, A. D. (2018). Personalized face and gesture analysis using hierarchical neural networks. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/34774

Chicago Manual of Style (16th Edition):

Joshi, Ajjen Das. “Personalized face and gesture analysis using hierarchical neural networks.” 2018. Doctoral Dissertation, Boston University. Accessed August 23, 2019. http://hdl.handle.net/2144/34774.

MLA Handbook (7th Edition):

Joshi, Ajjen Das. “Personalized face and gesture analysis using hierarchical neural networks.” 2018. Web. 23 Aug 2019.

Vancouver:

Joshi AD. Personalized face and gesture analysis using hierarchical neural networks. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/2144/34774.

Council of Science Editors:

Joshi AD. Personalized face and gesture analysis using hierarchical neural networks. [Doctoral Dissertation]. Boston University; 2018. Available from: http://hdl.handle.net/2144/34774

94. Reid, Kevin. Bayesian Methods for Great Lakes Fisheries Risk Assessment and Management .

Degree: 2016, University of Guelph

 I applied Bayesian inference and techniques to analyze risk in two case studies of fisheries in the Great Lakes basin. Specifically, I developed and applied… (more)

Subjects/Keywords: Bayesian; Fisheries; Risk; Governance; Value of information; Batesian networks

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APA (6th Edition):

Reid, K. (2016). Bayesian Methods for Great Lakes Fisheries Risk Assessment and Management . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9477

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):

Reid, Kevin. “Bayesian Methods for Great Lakes Fisheries Risk Assessment and Management .” 2016. Thesis, University of Guelph. Accessed August 23, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9477.

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

MLA Handbook (7th Edition):

Reid, Kevin. “Bayesian Methods for Great Lakes Fisheries Risk Assessment and Management .” 2016. Web. 23 Aug 2019.

Vancouver:

Reid K. Bayesian Methods for Great Lakes Fisheries Risk Assessment and Management . [Internet] [Thesis]. University of Guelph; 2016. [cited 2019 Aug 23]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9477.

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

Council of Science Editors:

Reid K. Bayesian Methods for Great Lakes Fisheries Risk Assessment and Management . [Thesis]. University of Guelph; 2016. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9477

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


Queen Mary, University of London

95. Zhou, Yun. New techniques for learning parameters in Bayesian networks.

Degree: PhD, 2015, Queen Mary, University of London

 One of the hardest challenges in building a realistic Bayesian network (BN) model is to construct the node probability tables (NPTs). Even with a fixed… (more)

Subjects/Keywords: 006.3; Electronic Engineering; Computer Science; Bayesian networks; Parameter Learning

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APA (6th Edition):

Zhou, Y. (2015). New techniques for learning parameters in Bayesian networks. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/9015 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667460

Chicago Manual of Style (16th Edition):

Zhou, Yun. “New techniques for learning parameters in Bayesian networks.” 2015. Doctoral Dissertation, Queen Mary, University of London. Accessed August 23, 2019. http://qmro.qmul.ac.uk/xmlui/handle/123456789/9015 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667460.

MLA Handbook (7th Edition):

Zhou, Yun. “New techniques for learning parameters in Bayesian networks.” 2015. Web. 23 Aug 2019.

Vancouver:

Zhou Y. New techniques for learning parameters in Bayesian networks. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2015. [cited 2019 Aug 23]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/9015 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667460.

Council of Science Editors:

Zhou Y. New techniques for learning parameters in Bayesian networks. [Doctoral Dissertation]. Queen Mary, University of London; 2015. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/9015 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667460


Queen Mary, University of London

96. Ogunsanya, Oluwole Victor. Decision support using Bayesian networks for clinical decision making.

Degree: PhD, 2012, Queen Mary, University of London

 This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Discretization Algorithm, to model a variety of clinical problems. In particular, the… (more)

Subjects/Keywords: 616.07540285; Computer Science; Bayesian Networks; Dynamic Discretization Algorithm

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APA (6th Edition):

Ogunsanya, O. V. (2012). Decision support using Bayesian networks for clinical decision making. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/8688 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555115

Chicago Manual of Style (16th Edition):

Ogunsanya, Oluwole Victor. “Decision support using Bayesian networks for clinical decision making.” 2012. Doctoral Dissertation, Queen Mary, University of London. Accessed August 23, 2019. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8688 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555115.

MLA Handbook (7th Edition):

Ogunsanya, Oluwole Victor. “Decision support using Bayesian networks for clinical decision making.” 2012. Web. 23 Aug 2019.

Vancouver:

Ogunsanya OV. Decision support using Bayesian networks for clinical decision making. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2012. [cited 2019 Aug 23]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/8688 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555115.

Council of Science Editors:

Ogunsanya OV. Decision support using Bayesian networks for clinical decision making. [Doctoral Dissertation]. Queen Mary, University of London; 2012. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/8688 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555115


Texas A&M University

97. Sundararajan Venkatasubramani, Priyadharshini. Bayesian Network Modeling and Inference in Plant Gene Networks And Analysis of Sequencing and Imaging Data.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

 Scientific and technological advancements over the years have made curing, preventing or managing all diseases, a goal that seems to be within reach. The approach… (more)

Subjects/Keywords: plant pathogen interactions; metformin; RNA sequencing; drug repurposing; bayesian networks

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APA (6th Edition):

Sundararajan Venkatasubramani, P. (2017). Bayesian Network Modeling and Inference in Plant Gene Networks And Analysis of Sequencing and Imaging Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165919

Chicago Manual of Style (16th Edition):

Sundararajan Venkatasubramani, Priyadharshini. “Bayesian Network Modeling and Inference in Plant Gene Networks And Analysis of Sequencing and Imaging Data.” 2017. Doctoral Dissertation, Texas A&M University. Accessed August 23, 2019. http://hdl.handle.net/1969.1/165919.

MLA Handbook (7th Edition):

Sundararajan Venkatasubramani, Priyadharshini. “Bayesian Network Modeling and Inference in Plant Gene Networks And Analysis of Sequencing and Imaging Data.” 2017. Web. 23 Aug 2019.

Vancouver:

Sundararajan Venkatasubramani P. Bayesian Network Modeling and Inference in Plant Gene Networks And Analysis of Sequencing and Imaging Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/1969.1/165919.

Council of Science Editors:

Sundararajan Venkatasubramani P. Bayesian Network Modeling and Inference in Plant Gene Networks And Analysis of Sequencing and Imaging Data. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165919


Queen Mary, University of London

98. Pauran, Nargis. Bayesian networks for health care support.

Degree: PhD, 2016, Queen Mary, University of London

Bayesian Networks (BNs) have been considered as a potentially useful technique in the health service domain since they were invented. Many authors have presented BNs… (more)

Subjects/Keywords: Electronic Engineering and Computer Science; Bayesian Networks; clinical evidence data

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APA (6th Edition):

Pauran, N. (2016). Bayesian networks for health care support. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/13045 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775267

Chicago Manual of Style (16th Edition):

Pauran, Nargis. “Bayesian networks for health care support.” 2016. Doctoral Dissertation, Queen Mary, University of London. Accessed August 23, 2019. http://qmro.qmul.ac.uk/xmlui/handle/123456789/13045 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775267.

MLA Handbook (7th Edition):

Pauran, Nargis. “Bayesian networks for health care support.” 2016. Web. 23 Aug 2019.

Vancouver:

Pauran N. Bayesian networks for health care support. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2016. [cited 2019 Aug 23]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/13045 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775267.

Council of Science Editors:

Pauran N. Bayesian networks for health care support. [Doctoral Dissertation]. Queen Mary, University of London; 2016. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/13045 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775267


EPFL

99. Ağir, Berker. Context and Semantic Aware Location Privacy.

Degree: 2016, EPFL

 With ever-increasing computational power, and improved sensing and communication capabilities, smart devices have altered and enhanced the way we process, perceive and interact with information.… (more)

Subjects/Keywords: location privacy; privacy concerns; location semantics; mobile applications; privacy sensitivities; inference attacks; bayesian inference; bayesian networks

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APA (6th Edition):

Ağir, B. (2016). Context and Semantic Aware Location Privacy. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/219121

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):

Ağir, Berker. “Context and Semantic Aware Location Privacy.” 2016. Thesis, EPFL. Accessed August 23, 2019. http://infoscience.epfl.ch/record/219121.

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

MLA Handbook (7th Edition):

Ağir, Berker. “Context and Semantic Aware Location Privacy.” 2016. Web. 23 Aug 2019.

Vancouver:

Ağir B. Context and Semantic Aware Location Privacy. [Internet] [Thesis]. EPFL; 2016. [cited 2019 Aug 23]. Available from: http://infoscience.epfl.ch/record/219121.

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

Council of Science Editors:

Ağir B. Context and Semantic Aware Location Privacy. [Thesis]. EPFL; 2016. Available from: http://infoscience.epfl.ch/record/219121

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


Duke University

100. Nojavan Asghari, Farnaz. Bayesian Statistical Analysis in Coastal Eutrophication Models: Challenges and Solutions .

Degree: 2014, Duke University

  Estuaries interfacing with the land, atmosphere and open oceans can be influenced in a variety of ways by anthropogenic activities. Centuries of overexploitation, habitat… (more)

Subjects/Keywords: Environmental science; Statistics; Environmental management; Bayesian Belief Networks; Bayesian Statistics; Estuaries; Eutrophication; Hypoxia/Anoxia; Water Quality Models

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APA (6th Edition):

Nojavan Asghari, F. (2014). Bayesian Statistical Analysis in Coastal Eutrophication Models: Challenges and Solutions . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/9109

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):

Nojavan Asghari, Farnaz. “Bayesian Statistical Analysis in Coastal Eutrophication Models: Challenges and Solutions .” 2014. Thesis, Duke University. Accessed August 23, 2019. http://hdl.handle.net/10161/9109.

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

MLA Handbook (7th Edition):

Nojavan Asghari, Farnaz. “Bayesian Statistical Analysis in Coastal Eutrophication Models: Challenges and Solutions .” 2014. Web. 23 Aug 2019.

Vancouver:

Nojavan Asghari F. Bayesian Statistical Analysis in Coastal Eutrophication Models: Challenges and Solutions . [Internet] [Thesis]. Duke University; 2014. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10161/9109.

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

Council of Science Editors:

Nojavan Asghari F. Bayesian Statistical Analysis in Coastal Eutrophication Models: Challenges and Solutions . [Thesis]. Duke University; 2014. Available from: http://hdl.handle.net/10161/9109

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


Georgia Tech

101. Martin, William Davies. Finding causality in sociotechnical systems a Bayesian network structure learning approach to problem understanding.

Degree: MS, Mechanical Engineering, 2018, Georgia Tech

 Understanding the causal relations governing sociotechnical systems allows designers to better predict system dynamics, identify the root cause of issues, and subsequently design more sustainable… (more)

Subjects/Keywords: Bayesian networks; Sociotechnical; Bike shares; Causal; DAG; Causal diagrams; Markov; Causal sufficiency assumption; Bayesian network structure learning

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APA (6th Edition):

Martin, W. D. (2018). Finding causality in sociotechnical systems a Bayesian network structure learning approach to problem understanding. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60196

Chicago Manual of Style (16th Edition):

Martin, William Davies. “Finding causality in sociotechnical systems a Bayesian network structure learning approach to problem understanding.” 2018. Masters Thesis, Georgia Tech. Accessed August 23, 2019. http://hdl.handle.net/1853/60196.

MLA Handbook (7th Edition):

Martin, William Davies. “Finding causality in sociotechnical systems a Bayesian network structure learning approach to problem understanding.” 2018. Web. 23 Aug 2019.

Vancouver:

Martin WD. Finding causality in sociotechnical systems a Bayesian network structure learning approach to problem understanding. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/1853/60196.

Council of Science Editors:

Martin WD. Finding causality in sociotechnical systems a Bayesian network structure learning approach to problem understanding. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60196


University of New South Wales

102. Coutts, Andrew. Decision Making In Crisis: A Bayesian Influence Diagram Methodology for Modelling Critical and Time-Constrained Political-Strategic Decision Making.

Degree: Engineering & Information Technology, 2017, University of New South Wales

 This thesis proposes a Bayesian Influence Diagram (BID) based methodology to construct decision-aiding models to support political-strategic crisis decision making (PSCDM). The key methodological challenges… (more)

Subjects/Keywords: Bayesian Influence Diagrams; Bayesian Belief Networks; Political Strategic Crisis Decision Making; Decision Support Systems; Operations Research

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APA (6th Edition):

Coutts, A. (2017). Decision Making In Crisis: A Bayesian Influence Diagram Methodology for Modelling Critical and Time-Constrained Political-Strategic Decision Making. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59012 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48278/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Coutts, Andrew. “Decision Making In Crisis: A Bayesian Influence Diagram Methodology for Modelling Critical and Time-Constrained Political-Strategic Decision Making.” 2017. Doctoral Dissertation, University of New South Wales. Accessed August 23, 2019. http://handle.unsw.edu.au/1959.4/59012 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48278/SOURCE02?view=true.

MLA Handbook (7th Edition):

Coutts, Andrew. “Decision Making In Crisis: A Bayesian Influence Diagram Methodology for Modelling Critical and Time-Constrained Political-Strategic Decision Making.” 2017. Web. 23 Aug 2019.

Vancouver:

Coutts A. Decision Making In Crisis: A Bayesian Influence Diagram Methodology for Modelling Critical and Time-Constrained Political-Strategic Decision Making. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2019 Aug 23]. Available from: http://handle.unsw.edu.au/1959.4/59012 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48278/SOURCE02?view=true.

Council of Science Editors:

Coutts A. Decision Making In Crisis: A Bayesian Influence Diagram Methodology for Modelling Critical and Time-Constrained Political-Strategic Decision Making. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/59012 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48278/SOURCE02?view=true


Arizona State University

103. Arcuria, Phil. Applying Academic Analytics: Developing a Process for Utilizing Bayesian Networks to Predict Stopping Out Among Community College Students.

Degree: Educational Psychology, 2015, Arizona State University

 Many methodological approaches have been utilized to predict student retention and persistence over the years, yet few have utilized a Bayesian framework. It is believed… (more)

Subjects/Keywords: Educational evaluation; Statistics; Educational psychology; Academic Analytics; Bayesian; Bayesian Networks; Community College; Stopping Out; Student Success

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APA (6th Edition):

Arcuria, P. (2015). Applying Academic Analytics: Developing a Process for Utilizing Bayesian Networks to Predict Stopping Out Among Community College Students. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/29621

Chicago Manual of Style (16th Edition):

Arcuria, Phil. “Applying Academic Analytics: Developing a Process for Utilizing Bayesian Networks to Predict Stopping Out Among Community College Students.” 2015. Doctoral Dissertation, Arizona State University. Accessed August 23, 2019. http://repository.asu.edu/items/29621.

MLA Handbook (7th Edition):

Arcuria, Phil. “Applying Academic Analytics: Developing a Process for Utilizing Bayesian Networks to Predict Stopping Out Among Community College Students.” 2015. Web. 23 Aug 2019.

Vancouver:

Arcuria P. Applying Academic Analytics: Developing a Process for Utilizing Bayesian Networks to Predict Stopping Out Among Community College Students. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2019 Aug 23]. Available from: http://repository.asu.edu/items/29621.

Council of Science Editors:

Arcuria P. Applying Academic Analytics: Developing a Process for Utilizing Bayesian Networks to Predict Stopping Out Among Community College Students. [Doctoral Dissertation]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/29621


University of Pretoria

104. Nortje, W D. Comparison of Bayesian learning and conjugate gradient descent training of neural networks.

Degree: Electrical, Electronic and Computer Engineering, 2005, University of Pretoria

 Neural networks are used in various fields to make predictions about the future value of a time series, or about the class membership of a… (more)

Subjects/Keywords: Neural networks; Bayesian neural networks; Sampled optimisation; Bayesian learning; UCTD

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APA (6th Edition):

Nortje, W. D. (2005). Comparison of Bayesian learning and conjugate gradient descent training of neural networks. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/29327

Chicago Manual of Style (16th Edition):

Nortje, W D. “Comparison of Bayesian learning and conjugate gradient descent training of neural networks.” 2005. Masters Thesis, University of Pretoria. Accessed August 23, 2019. http://hdl.handle.net/2263/29327.

MLA Handbook (7th Edition):

Nortje, W D. “Comparison of Bayesian learning and conjugate gradient descent training of neural networks.” 2005. Web. 23 Aug 2019.

Vancouver:

Nortje WD. Comparison of Bayesian learning and conjugate gradient descent training of neural networks. [Internet] [Masters thesis]. University of Pretoria; 2005. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/2263/29327.

Council of Science Editors:

Nortje WD. Comparison of Bayesian learning and conjugate gradient descent training of neural networks. [Masters Thesis]. University of Pretoria; 2005. Available from: http://hdl.handle.net/2263/29327


Universiteit Utrecht

105. Bouckaert, R.R. (Remco Ronaldus). Bayesian belief networks : from construction to inference.

Degree: 1995, Universiteit Utrecht

 In het dagelijks leven is het redeneren met onzekerheden gebruikelijker dan het redeneren zonder. Bayesiaanse belief netwerken bieden een wiskundig correct formalisme om onzekerheid te… (more)

Subjects/Keywords: Wiskunde en Informatica; Bayesian belief networks; learning; Bayesian belief networks; inference

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APA (6th Edition):

Bouckaert, R. R. (. R. (1995). Bayesian belief networks : from construction to inference. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/845

Chicago Manual of Style (16th Edition):

Bouckaert, R R (Remco Ronaldus). “Bayesian belief networks : from construction to inference.” 1995. Doctoral Dissertation, Universiteit Utrecht. Accessed August 23, 2019. http://dspace.library.uu.nl:8080/handle/1874/845.

MLA Handbook (7th Edition):

Bouckaert, R R (Remco Ronaldus). “Bayesian belief networks : from construction to inference.” 1995. Web. 23 Aug 2019.

Vancouver:

Bouckaert RR(R. Bayesian belief networks : from construction to inference. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 1995. [cited 2019 Aug 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/845.

Council of Science Editors:

Bouckaert RR(R. Bayesian belief networks : from construction to inference. [Doctoral Dissertation]. Universiteit Utrecht; 1995. Available from: http://dspace.library.uu.nl:8080/handle/1874/845


University of Pretoria

106. [No author]. Comparison of Bayesian learning and conjugate gradient descent training of neural networks .

Degree: 2005, University of Pretoria

 Neural networks are used in various fields to make predictions about the future value of a time series, or about the class membership of a… (more)

Subjects/Keywords: Neural networks; Bayesian neural networks; Sampled optimisation; Bayesian learning; UCTD

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APA (6th Edition):

author], [. (2005). Comparison of Bayesian learning and conjugate gradient descent training of neural networks . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-11092004-091241/

Chicago Manual of Style (16th Edition):

author], [No. “Comparison of Bayesian learning and conjugate gradient descent training of neural networks .” 2005. Masters Thesis, University of Pretoria. Accessed August 23, 2019. http://upetd.up.ac.za/thesis/available/etd-11092004-091241/.

MLA Handbook (7th Edition):

author], [No. “Comparison of Bayesian learning and conjugate gradient descent training of neural networks .” 2005. Web. 23 Aug 2019.

Vancouver:

author] [. Comparison of Bayesian learning and conjugate gradient descent training of neural networks . [Internet] [Masters thesis]. University of Pretoria; 2005. [cited 2019 Aug 23]. Available from: http://upetd.up.ac.za/thesis/available/etd-11092004-091241/.

Council of Science Editors:

author] [. Comparison of Bayesian learning and conjugate gradient descent training of neural networks . [Masters Thesis]. University of Pretoria; 2005. Available from: http://upetd.up.ac.za/thesis/available/etd-11092004-091241/


Loughborough University

107. Azman, Afizan. Physiological measurement based automatic driver cognitive distraction detection.

Degree: PhD, 2013, Loughborough University

 Vehicle safety and road safety are two important issues. They are related to each other and road accidents are mostly caused by driver distraction. Issues… (more)

Subjects/Keywords: 006.4; Driving safety; Cognitive distraction; Bayesian networks; FaceLAB; FaceAPI and accuracy rate

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

APA (6th Edition):

Azman, A. (2013). Physiological measurement based automatic driver cognitive distraction detection. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/12566 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.594436

Chicago Manual of Style (16th Edition):

Azman, Afizan. “Physiological measurement based automatic driver cognitive distraction detection.” 2013. Doctoral Dissertation, Loughborough University. Accessed August 23, 2019. https://dspace.lboro.ac.uk/2134/12566 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.594436.

MLA Handbook (7th Edition):

Azman, Afizan. “Physiological measurement based automatic driver cognitive distraction detection.” 2013. Web. 23 Aug 2019.

Vancouver:

Azman A. Physiological measurement based automatic driver cognitive distraction detection. [Internet] [Doctoral dissertation]. Loughborough University; 2013. [cited 2019 Aug 23]. Available from: https://dspace.lboro.ac.uk/2134/12566 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.594436.

Council of Science Editors:

Azman A. Physiological measurement based automatic driver cognitive distraction detection. [Doctoral Dissertation]. Loughborough University; 2013. Available from: https://dspace.lboro.ac.uk/2134/12566 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.594436


University of Edinburgh

108. Stadler, Kevin. Cultural Transmission and Inductive Biases in Populations of Bayesian Learners.

Degree: 2009, University of Edinburgh

 Recent research on computational models of language change and cultural evolution in general has focused on the analytical study of languages as dynamic systems, thus… (more)

Subjects/Keywords: Iterated learning; Cultural transmission; Language evolution; Language change; Small world networks; Bayesian Inference

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APA (6th Edition):

Stadler, K. (2009). Cultural Transmission and Inductive Biases in Populations of Bayesian Learners. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3617

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):

Stadler, Kevin. “Cultural Transmission and Inductive Biases in Populations of Bayesian Learners.” 2009. Thesis, University of Edinburgh. Accessed August 23, 2019. http://hdl.handle.net/1842/3617.

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

MLA Handbook (7th Edition):

Stadler, Kevin. “Cultural Transmission and Inductive Biases in Populations of Bayesian Learners.” 2009. Web. 23 Aug 2019.

Vancouver:

Stadler K. Cultural Transmission and Inductive Biases in Populations of Bayesian Learners. [Internet] [Thesis]. University of Edinburgh; 2009. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/1842/3617.

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

Council of Science Editors:

Stadler K. Cultural Transmission and Inductive Biases in Populations of Bayesian Learners. [Thesis]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3617

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


Universidade do Rio Grande do Sul

109. Kieling, Gustavo Luiz. Inserção de conhecimento probabilístico para construção de agentes BDI modelados em redes bayesianas.

Degree: 2011, Universidade do Rio Grande do Sul

A representação do conhecimento de maneira mais fiel possível à realidade é uma meta histórica e não resolvida até o momento na área da Inteligência… (more)

Subjects/Keywords: Inteligência artificial; Agents; Bayesian networks; Ontologias; Redes bayesianas; BDI; Multiagent systems; Probabilistic knowledge

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

APA (6th Edition):

Kieling, G. L. (2011). Inserção de conhecimento probabilístico para construção de agentes BDI modelados em redes bayesianas. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/28741

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):

Kieling, Gustavo Luiz. “Inserção de conhecimento probabilístico para construção de agentes BDI modelados em redes bayesianas.” 2011. Thesis, Universidade do Rio Grande do Sul. Accessed August 23, 2019. http://hdl.handle.net/10183/28741.

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

MLA Handbook (7th Edition):

Kieling, Gustavo Luiz. “Inserção de conhecimento probabilístico para construção de agentes BDI modelados em redes bayesianas.” 2011. Web. 23 Aug 2019.

Vancouver:

Kieling GL. Inserção de conhecimento probabilístico para construção de agentes BDI modelados em redes bayesianas. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2011. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10183/28741.

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

Council of Science Editors:

Kieling GL. Inserção de conhecimento probabilístico para construção de agentes BDI modelados em redes bayesianas. [Thesis]. Universidade do Rio Grande do Sul; 2011. Available from: http://hdl.handle.net/10183/28741

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


Anna University

110. Karpaga selvi S. Soft Computing Techniques For Web Search Engines;.

Degree: Information Technology, 2013, Anna University

World Wide Web is the one of the largest repositories of newlineinformation Searching the relevant information from web is a challenging newlinetask for human Most… (more)

Subjects/Keywords: Bayesian Belief Networks; cloud computing; Data mining; nonlinear techniques; Soft Computing Techniques; Web Search Engines

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

APA (6th Edition):

S, K. s. (2013). Soft Computing Techniques For Web Search Engines;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/22970

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):

S, Karpaga selvi. “Soft Computing Techniques For Web Search Engines;.” 2013. Thesis, Anna University. Accessed August 23, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/22970.

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

MLA Handbook (7th Edition):

S, Karpaga selvi. “Soft Computing Techniques For Web Search Engines;.” 2013. Web. 23 Aug 2019.

Vancouver:

S Ks. Soft Computing Techniques For Web Search Engines;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Aug 23]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22970.

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

Council of Science Editors:

S Ks. Soft Computing Techniques For Web Search Engines;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22970

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

111. Thomas, Lina Dornelas. Construção de redes usando estatística clássica e Bayesiana - uma comparação.

Degree: Mestrado, Estatística, 2012, University of São Paulo

Nesta pesquisa, estudamos e comparamos duas maneiras de se construir redes. O principal objetivo do nosso estudo é encontrar uma forma efetiva de se construir… (more)

Subjects/Keywords: Bayesian statistics; complex networks; correlação parcial; estatística Bayesiana; inverse method; método inverso; partial correlation; redes

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

APA (6th Edition):

Thomas, L. D. (2012). Construção de redes usando estatística clássica e Bayesiana - uma comparação. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25072012-143548/ ;

Chicago Manual of Style (16th Edition):

Thomas, Lina Dornelas. “Construção de redes usando estatística clássica e Bayesiana - uma comparação.” 2012. Masters Thesis, University of São Paulo. Accessed August 23, 2019. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25072012-143548/ ;.

MLA Handbook (7th Edition):

Thomas, Lina Dornelas. “Construção de redes usando estatística clássica e Bayesiana - uma comparação.” 2012. Web. 23 Aug 2019.

Vancouver:

Thomas LD. Construção de redes usando estatística clássica e Bayesiana - uma comparação. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2019 Aug 23]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25072012-143548/ ;.

Council of Science Editors:

Thomas LD. Construção de redes usando estatística clássica e Bayesiana - uma comparação. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25072012-143548/ ;

112. Selvatici, Antonio Henrique Pinto. Construção de mapas de objetos para navegação de robôs.

Degree: PhD, Sistemas Digitais, 2009, University of São Paulo

Como a complexidade das tarefas realizadas por robôs móveis vêm aumentando a cada dia, a percepção do robô deve ser capaz de capturar informações mais… (more)

Subjects/Keywords: Bayesian inference; Belief networks; Computer vision; Inferência bayesiana; Redes de crença; Robótica; Robotics; Visão computacional

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APA (6th Edition):

Selvatici, A. H. P. (2009). Construção de mapas de objetos para navegação de robôs. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3141/tde-01072009-153749/ ;

Chicago Manual of Style (16th Edition):

Selvatici, Antonio Henrique Pinto. “Construção de mapas de objetos para navegação de robôs.” 2009. Doctoral Dissertation, University of São Paulo. Accessed August 23, 2019. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-01072009-153749/ ;.

MLA Handbook (7th Edition):

Selvatici, Antonio Henrique Pinto. “Construção de mapas de objetos para navegação de robôs.” 2009. Web. 23 Aug 2019.

Vancouver:

Selvatici AHP. Construção de mapas de objetos para navegação de robôs. [Internet] [Doctoral dissertation]. University of São Paulo; 2009. [cited 2019 Aug 23]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3141/tde-01072009-153749/ ;.

Council of Science Editors:

Selvatici AHP. Construção de mapas de objetos para navegação de robôs. [Doctoral Dissertation]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/3/3141/tde-01072009-153749/ ;

113. Villanueva Talavera, Edwin Rafael. Sistema evolutivo eficiente para aprendizagem estrutural de redes Bayesianas.

Degree: PhD, Sistemas Dinâmicos, 2012, University of São Paulo

Redes Bayesianas (RB) são ferramentas probabilísticas amplamente aceitas para modelar e fazer inferências em domínios sob incertezas. Uma das maiores dificuldades na construção de uma… (more)

Subjects/Keywords: Aprendizagem estrutural; Bayesian networks; Computação evolutiva; Evolutionary computation; Redes Bayesianas; Structure learning

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APA (6th Edition):

Villanueva Talavera, E. R. (2012). Sistema evolutivo eficiente para aprendizagem estrutural de redes Bayesianas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18153/tde-30102012-103112/ ;

Chicago Manual of Style (16th Edition):

Villanueva Talavera, Edwin Rafael. “Sistema evolutivo eficiente para aprendizagem estrutural de redes Bayesianas.” 2012. Doctoral Dissertation, University of São Paulo. Accessed August 23, 2019. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-30102012-103112/ ;.

MLA Handbook (7th Edition):

Villanueva Talavera, Edwin Rafael. “Sistema evolutivo eficiente para aprendizagem estrutural de redes Bayesianas.” 2012. Web. 23 Aug 2019.

Vancouver:

Villanueva Talavera ER. Sistema evolutivo eficiente para aprendizagem estrutural de redes Bayesianas. [Internet] [Doctoral dissertation]. University of São Paulo; 2012. [cited 2019 Aug 23]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18153/tde-30102012-103112/ ;.

Council of Science Editors:

Villanueva Talavera ER. Sistema evolutivo eficiente para aprendizagem estrutural de redes Bayesianas. [Doctoral Dissertation]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/18/18153/tde-30102012-103112/ ;

114. Magalhães, Ismenia Blavatsky de. Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas.

Degree: PhD, Engenharia Mecânica, 2007, University of São Paulo

Redes Bayesianas são estruturas que combinam distribuições de probabilidade e grafos. Apesar das redes Bayesianas terem surgido na década de 80 e as primeiras tentativas… (more)

Subjects/Keywords: Bayesian networks; Imputação; Imputação múltipla; Imputation; Missing data; Multiple imputation; Não resposta; Redes Bayesianas

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APA (6th Edition):

Magalhães, I. B. d. (2007). Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3132/tde-06072007-145922/ ;

Chicago Manual of Style (16th Edition):

Magalhães, Ismenia Blavatsky de. “Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas.” 2007. Doctoral Dissertation, University of São Paulo. Accessed August 23, 2019. http://www.teses.usp.br/teses/disponiveis/3/3132/tde-06072007-145922/ ;.

MLA Handbook (7th Edition):

Magalhães, Ismenia Blavatsky de. “Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas.” 2007. Web. 23 Aug 2019.

Vancouver:

Magalhães IBd. Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas. [Internet] [Doctoral dissertation]. University of São Paulo; 2007. [cited 2019 Aug 23]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3132/tde-06072007-145922/ ;.

Council of Science Editors:

Magalhães IBd. Avaliação de redes Bayesianas para imputação em variáveis qualitativas e quantitativas. [Doctoral Dissertation]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/3/3132/tde-06072007-145922/ ;


Texas A&M University

115. Belur Jana, Raghavendra. Scaling Characteristics of Soil Hydraulic Parameters at Varying Spatial Resolutions.

Degree: 2011, Texas A&M University

 This dissertation focuses on the challenge of soil hydraulic parameter scaling in soil hydrology and related applications in general; and, in particular, the upscaling of… (more)

Subjects/Keywords: Soil hydraulic parameters; spatial scaling; scale; vadose zone; Bayesian neural networks; topography; remote sensing

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

APA (6th Edition):

Belur Jana, R. (2011). Scaling Characteristics of Soil Hydraulic Parameters at Varying Spatial Resolutions. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-8015

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):

Belur Jana, Raghavendra. “Scaling Characteristics of Soil Hydraulic Parameters at Varying Spatial Resolutions.” 2011. Thesis, Texas A&M University. Accessed August 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-8015.

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

MLA Handbook (7th Edition):

Belur Jana, Raghavendra. “Scaling Characteristics of Soil Hydraulic Parameters at Varying Spatial Resolutions.” 2011. Web. 23 Aug 2019.

Vancouver:

Belur Jana R. Scaling Characteristics of Soil Hydraulic Parameters at Varying Spatial Resolutions. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-8015.

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

Council of Science Editors:

Belur Jana R. Scaling Characteristics of Soil Hydraulic Parameters at Varying Spatial Resolutions. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-8015

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


Texas A&M University

116. Varela Gonzalez, Patricia Ysolda. Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and Gas Site Development.

Degree: 2013, Texas A&M University

 The objective of this work is to develop a Bayesian Network (BN) model to produce environmental risk maps for oil and gas site developments and… (more)

Subjects/Keywords: Bayesian Networks; Geographical Information Systems; Environmental Sensibility; O&G development; Risk Assessment

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

APA (6th Edition):

Varela Gonzalez, P. Y. (2013). Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and Gas Site Development. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149449

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):

Varela Gonzalez, Patricia Ysolda. “Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and Gas Site Development.” 2013. Thesis, Texas A&M University. Accessed August 23, 2019. http://hdl.handle.net/1969.1/149449.

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

MLA Handbook (7th Edition):

Varela Gonzalez, Patricia Ysolda. “Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and Gas Site Development.” 2013. Web. 23 Aug 2019.

Vancouver:

Varela Gonzalez PY. Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and Gas Site Development. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/1969.1/149449.

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

Council of Science Editors:

Varela Gonzalez PY. Bayesian Networks and Geographical Information Systems for Environmental Risk Assessment for Oil and Gas Site Development. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149449

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


University of Colorado

117. Jennings, Dale Kurtis. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.

Degree: PhD, Applied Mathematics, 2016, University of Colorado

 Markov Chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from a desired probability distribution. While there exist many algorithms that attempt… (more)

Subjects/Keywords: Applied Probability; Bayesian Networks; Birth and Death Process; Kac Model; MCMC; Particle Filtering; Applied Mathematics

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APA (6th Edition):

Jennings, D. K. (2016). Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/appm_gradetds/81

Chicago Manual of Style (16th Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Doctoral Dissertation, University of Colorado. Accessed August 23, 2019. http://scholar.colorado.edu/appm_gradetds/81.

MLA Handbook (7th Edition):

Jennings, Dale Kurtis. “Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks.” 2016. Web. 23 Aug 2019.

Vancouver:

Jennings DK. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2019 Aug 23]. Available from: http://scholar.colorado.edu/appm_gradetds/81.

Council of Science Editors:

Jennings DK. Advances in MCMC Methods with Applications to Particle Filtering, DSMC, and Bayesian Networks. [Doctoral Dissertation]. University of Colorado; 2016. Available from: http://scholar.colorado.edu/appm_gradetds/81


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

118. Σέττας, Δημήτρης. Software project antipattern knowledge management.

Degree: 2011, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

The aim of the present thesis was the study of software project management antipatterns. The thesis describes a computer-based model of project management antipatterns that… (more)

Subjects/Keywords: Αντιπρότυπα; Δίκτυα Bayes; Ευφυή συστήματα; Διαχείριση γνώσης; Antipatterns; Bayesian networks; Intelligent systems; Knowledge management

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APA (6th Edition):

Σέττας, . . (2011). Software project antipattern knowledge management. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/23077

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):

Σέττας, Δημήτρης. “Software project antipattern knowledge management.” 2011. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed August 23, 2019. http://hdl.handle.net/10442/hedi/23077.

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

MLA Handbook (7th Edition):

Σέττας, Δημήτρης. “Software project antipattern knowledge management.” 2011. Web. 23 Aug 2019.

Vancouver:

Σέττας . Software project antipattern knowledge management. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2011. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10442/hedi/23077.

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

Council of Science Editors:

Σέττας . Software project antipattern knowledge management. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2011. Available from: http://hdl.handle.net/10442/hedi/23077

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


Loughborough University

119. Coombes, Matthew. Landing site reachability and decision making for UAS forced landings.

Degree: PhD, 2016, Loughborough University

 After a huge amount of success within the military, the benefits of the use of unmanned aerial systems over manned aircraft is obvious. They are… (more)

Subjects/Keywords: 629.132; Forced landing; Bayesian networks; Trochoid path planning Decision Making; UAS; UAV

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

APA (6th Edition):

Coombes, M. (2016). Landing site reachability and decision making for UAS forced landings. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/21139 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693024

Chicago Manual of Style (16th Edition):

Coombes, Matthew. “Landing site reachability and decision making for UAS forced landings.” 2016. Doctoral Dissertation, Loughborough University. Accessed August 23, 2019. https://dspace.lboro.ac.uk/2134/21139 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693024.

MLA Handbook (7th Edition):

Coombes, Matthew. “Landing site reachability and decision making for UAS forced landings.” 2016. Web. 23 Aug 2019.

Vancouver:

Coombes M. Landing site reachability and decision making for UAS forced landings. [Internet] [Doctoral dissertation]. Loughborough University; 2016. [cited 2019 Aug 23]. Available from: https://dspace.lboro.ac.uk/2134/21139 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693024.

Council of Science Editors:

Coombes M. Landing site reachability and decision making for UAS forced landings. [Doctoral Dissertation]. Loughborough University; 2016. Available from: https://dspace.lboro.ac.uk/2134/21139 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693024

120. Förstner, Johannes. Optimizing Queries in Bayesian Networks.

Degree: The Institute of Technology, 2012, Linköping UniversityLinköping University

  This thesis explores and compares different methods of optimizing queries in Bayesian networks. Bayesian networks are graph-structured models that model probabilistic variables and their… (more)

Subjects/Keywords: Bayesian Networks; SMILE; Noisy-MAX; inference; relevance reasoning; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Förstner, J. (2012). Optimizing Queries in Bayesian Networks. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-86716

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):

Förstner, Johannes. “Optimizing Queries in Bayesian Networks.” 2012. Thesis, Linköping UniversityLinköping University. Accessed August 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-86716.

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

MLA Handbook (7th Edition):

Förstner, Johannes. “Optimizing Queries in Bayesian Networks.” 2012. Web. 23 Aug 2019.

Vancouver:

Förstner J. Optimizing Queries in Bayesian Networks. [Internet] [Thesis]. Linköping UniversityLinköping University; 2012. [cited 2019 Aug 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-86716.

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

Council of Science Editors:

Förstner J. Optimizing Queries in Bayesian Networks. [Thesis]. Linköping UniversityLinköping University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-86716

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

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