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You searched for subject:(Bayesian Networks). Showing records 1 – 30 of 477 total matches.

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University of Georgia

1. McAbee, Kevin Todd. Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace).

Degree: MS, Forest Resources, 2008, University of Georgia

 High uncertainty and few historic data hinder management of many imperiled species because recovery planning is often based heavily on expert opinion. While this is… (more)

Subjects/Keywords: Bayesian belief networks

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APA (6th Edition):

McAbee, K. T. (2008). Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace). (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200808_ms

Chicago Manual of Style (16th Edition):

McAbee, Kevin Todd. “Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace).” 2008. Masters Thesis, University of Georgia. Accessed April 26, 2019. http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200808_ms.

MLA Handbook (7th Edition):

McAbee, Kevin Todd. “Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace).” 2008. Web. 26 Apr 2019.

Vancouver:

McAbee KT. Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace). [Internet] [Masters thesis]. University of Georgia; 2008. [cited 2019 Apr 26]. Available from: http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200808_ms.

Council of Science Editors:

McAbee KT. Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace). [Masters Thesis]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200808_ms


University of Georgia

2. McAbee, Kevin Todd. Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace).

Degree: MS, Forest Resources, 2008, University of Georgia

 High uncertainty and few historic data hinder management of many imperiled species because recovery planning is often based heavily on expert opinion. While this is… (more)

Subjects/Keywords: Bayesian belief networks

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

APA (6th Edition):

McAbee, K. T. (2008). Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace). (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200812_ms

Chicago Manual of Style (16th Edition):

McAbee, Kevin Todd. “Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace).” 2008. Masters Thesis, University of Georgia. Accessed April 26, 2019. http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200812_ms.

MLA Handbook (7th Edition):

McAbee, Kevin Todd. “Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace).” 2008. Web. 26 Apr 2019.

Vancouver:

McAbee KT. Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace). [Internet] [Masters thesis]. University of Georgia; 2008. [cited 2019 Apr 26]. Available from: http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200812_ms.

Council of Science Editors:

McAbee KT. Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace). [Masters Thesis]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200812_ms


University of Cape Town

3. Peter, Camaren. Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability.

Degree: Image, GSB: Faculty, 2010, University of Cape Town

 This dissertation responds to the need for integration between researchers and decision-makers who are dealing with complex social-ecological system sustainability and decision-making challenges. To this… (more)

Subjects/Keywords: Desicion analysis; Bayesian networks

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APA (6th Edition):

Peter, C. (2010). Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability. (Thesis). University of Cape Town. Retrieved from http://hdl.handle.net/11427/18284

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):

Peter, Camaren. “Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability.” 2010. Thesis, University of Cape Town. Accessed April 26, 2019. http://hdl.handle.net/11427/18284.

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

MLA Handbook (7th Edition):

Peter, Camaren. “Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability.” 2010. Web. 26 Apr 2019.

Vancouver:

Peter C. Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability. [Internet] [Thesis]. University of Cape Town; 2010. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/11427/18284.

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

Council of Science Editors:

Peter C. Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability. [Thesis]. University of Cape Town; 2010. Available from: http://hdl.handle.net/11427/18284

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


University of New South Wales

4. Farr, Anna. An application of Bayesian Network modelling to the HIV/AIDS epidemic in the Philippines.

Degree: Kirby Institute, 2015, University of New South Wales

 Historically, the Philippines was one of the few countries that had not faced a large HIV epidemic. This thesis evaluated the current epidemiology, trends in… (more)

Subjects/Keywords: Philippines; HIV/AIDS; Bayesian Networks

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APA (6th Edition):

Farr, A. (2015). An application of Bayesian Network modelling to the HIV/AIDS epidemic in the Philippines. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54917 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36178/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Farr, Anna. “An application of Bayesian Network modelling to the HIV/AIDS epidemic in the Philippines.” 2015. Masters Thesis, University of New South Wales. Accessed April 26, 2019. http://handle.unsw.edu.au/1959.4/54917 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36178/SOURCE02?view=true.

MLA Handbook (7th Edition):

Farr, Anna. “An application of Bayesian Network modelling to the HIV/AIDS epidemic in the Philippines.” 2015. Web. 26 Apr 2019.

Vancouver:

Farr A. An application of Bayesian Network modelling to the HIV/AIDS epidemic in the Philippines. [Internet] [Masters thesis]. University of New South Wales; 2015. [cited 2019 Apr 26]. Available from: http://handle.unsw.edu.au/1959.4/54917 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36178/SOURCE02?view=true.

Council of Science Editors:

Farr A. An application of Bayesian Network modelling to the HIV/AIDS epidemic in the Philippines. [Masters Thesis]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/54917 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36178/SOURCE02?view=true


University of Ballarat

5. Taheri, Sona. Learning Bayesian networks based on optimization approaches.

Degree: PhD, 2012, University of Ballarat

 Learning accurate classifiers from preclassified data is a very active research topic in machine learning and artifcial intelligence. There are numerous classifier paradigms, among which… (more)

Subjects/Keywords: Bayesian networks; Optimization; Classifier paradigms

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APA (6th Edition):

Taheri, S. (2012). Learning Bayesian networks based on optimization approaches. (Doctoral Dissertation). University of Ballarat. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051

Chicago Manual of Style (16th Edition):

Taheri, Sona. “Learning Bayesian networks based on optimization approaches.” 2012. Doctoral Dissertation, University of Ballarat. Accessed April 26, 2019. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051.

MLA Handbook (7th Edition):

Taheri, Sona. “Learning Bayesian networks based on optimization approaches.” 2012. Web. 26 Apr 2019.

Vancouver:

Taheri S. Learning Bayesian networks based on optimization approaches. [Internet] [Doctoral dissertation]. University of Ballarat; 2012. [cited 2019 Apr 26]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051.

Council of Science Editors:

Taheri S. Learning Bayesian networks based on optimization approaches. [Doctoral Dissertation]. University of Ballarat; 2012. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051


North Carolina State University

6. Duarte, Christine Woods. A New Method for Genetic Network Reconstruction in Expression QTL Data Sets.

Degree: PhD, Bioinformatics, 2009, North Carolina State University

 Expression QTL (or eQTL) studies involve the collection of microarray gene expression data and genetic marker data from segregating individuals in a population in order… (more)

Subjects/Keywords: eQTL; Bayesian networks; genetic networks; QTL

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APA (6th Edition):

Duarte, C. W. (2009). A New Method for Genetic Network Reconstruction in Expression QTL Data Sets. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4410

Chicago Manual of Style (16th Edition):

Duarte, Christine Woods. “A New Method for Genetic Network Reconstruction in Expression QTL Data Sets.” 2009. Doctoral Dissertation, North Carolina State University. Accessed April 26, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4410.

MLA Handbook (7th Edition):

Duarte, Christine Woods. “A New Method for Genetic Network Reconstruction in Expression QTL Data Sets.” 2009. Web. 26 Apr 2019.

Vancouver:

Duarte CW. A New Method for Genetic Network Reconstruction in Expression QTL Data Sets. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Apr 26]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4410.

Council of Science Editors:

Duarte CW. A New Method for Genetic Network Reconstruction in Expression QTL Data Sets. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4410


Iowa State University

7. Sharma, Abhineet. Using node ordering to improve Structure MCMC for Bayesian Model Averaging.

Degree: 2016, Iowa State University

 In this thesis, I address an important problem of estimating the structure of Bayesian network models using Bayesian model averaging approach. Bayesian networks are probabilistic… (more)

Subjects/Keywords: Bayesian model averaging; bayesian networks; structure learning in bayesian networks; Computer Sciences

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APA (6th Edition):

Sharma, A. (2016). Using node ordering to improve Structure MCMC for Bayesian Model Averaging. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16014

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):

Sharma, Abhineet. “Using node ordering to improve Structure MCMC for Bayesian Model Averaging.” 2016. Thesis, Iowa State University. Accessed April 26, 2019. https://lib.dr.iastate.edu/etd/16014.

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

MLA Handbook (7th Edition):

Sharma, Abhineet. “Using node ordering to improve Structure MCMC for Bayesian Model Averaging.” 2016. Web. 26 Apr 2019.

Vancouver:

Sharma A. Using node ordering to improve Structure MCMC for Bayesian Model Averaging. [Internet] [Thesis]. Iowa State University; 2016. [cited 2019 Apr 26]. Available from: https://lib.dr.iastate.edu/etd/16014.

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

Council of Science Editors:

Sharma A. Using node ordering to improve Structure MCMC for Bayesian Model Averaging. [Thesis]. Iowa State University; 2016. Available from: https://lib.dr.iastate.edu/etd/16014

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

8. Grzegorczyk, Marco. Comparative evaluation of different graphical models for the analysis of gene expression data.

Degree: 2006, Technische Universität Dortmund

 An important problem in systems biology is to infer the architecture of gene regulatory networks and biochemical pathways from postgenomic data. Various reverse engineering methods… (more)

Subjects/Keywords: Bayesian networks; Gene regulatory networks; Graphical Gaussian models; Relevance networks; 310

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APA (6th Edition):

Grzegorczyk, M. (2006). Comparative evaluation of different graphical models for the analysis of gene expression data. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/22855

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):

Grzegorczyk, Marco. “Comparative evaluation of different graphical models for the analysis of gene expression data.” 2006. Thesis, Technische Universität Dortmund. Accessed April 26, 2019. http://hdl.handle.net/2003/22855.

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

MLA Handbook (7th Edition):

Grzegorczyk, Marco. “Comparative evaluation of different graphical models for the analysis of gene expression data.” 2006. Web. 26 Apr 2019.

Vancouver:

Grzegorczyk M. Comparative evaluation of different graphical models for the analysis of gene expression data. [Internet] [Thesis]. Technische Universität Dortmund; 2006. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/2003/22855.

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

Council of Science Editors:

Grzegorczyk M. Comparative evaluation of different graphical models for the analysis of gene expression data. [Thesis]. Technische Universität Dortmund; 2006. Available from: http://hdl.handle.net/2003/22855

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


University of Rochester

9. Tran, Thanh Van. Threshold Boolean Network Inference and Experimental Design.

Degree: PhD, 2015, University of Rochester

 Modeling gene regulatory networks (GRN) is crucial to understanding how genetic components interact to carry out cellular processes. Successful reconstruction of GRNs allows prediction of… (more)

Subjects/Keywords: Boolean Networks; Graphical Networks; Experimental Design; Gene Regulatory Networks; Bayesian Inference

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APA (6th Edition):

Tran, T. V. (2015). Threshold Boolean Network Inference and Experimental Design. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30122

Chicago Manual of Style (16th Edition):

Tran, Thanh Van. “Threshold Boolean Network Inference and Experimental Design.” 2015. Doctoral Dissertation, University of Rochester. Accessed April 26, 2019. http://hdl.handle.net/1802/30122.

MLA Handbook (7th Edition):

Tran, Thanh Van. “Threshold Boolean Network Inference and Experimental Design.” 2015. Web. 26 Apr 2019.

Vancouver:

Tran TV. Threshold Boolean Network Inference and Experimental Design. [Internet] [Doctoral dissertation]. University of Rochester; 2015. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1802/30122.

Council of Science Editors:

Tran TV. Threshold Boolean Network Inference and Experimental Design. [Doctoral Dissertation]. University of Rochester; 2015. Available from: http://hdl.handle.net/1802/30122


University of New South Wales

10. Carvajal Ortega, Guido. Assessing validation and reliability of water and wastewater treatment processes using Bayesian techniques.

Degree: Civil & Environmental Engineering, 2018, University of New South Wales

 Water and wastewater treatment systems have key roles in protecting public health. To maintain public confidence, techniques are required to quantitatively validate their performance for… (more)

Subjects/Keywords: Bayesian analysis; Water treatment; Wastewater treatment; Bayesian networks

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APA (6th Edition):

Carvajal Ortega, G. (2018). Assessing validation and reliability of water and wastewater treatment processes using Bayesian techniques. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59558

Chicago Manual of Style (16th Edition):

Carvajal Ortega, Guido. “Assessing validation and reliability of water and wastewater treatment processes using Bayesian techniques.” 2018. Doctoral Dissertation, University of New South Wales. Accessed April 26, 2019. http://handle.unsw.edu.au/1959.4/59558.

MLA Handbook (7th Edition):

Carvajal Ortega, Guido. “Assessing validation and reliability of water and wastewater treatment processes using Bayesian techniques.” 2018. Web. 26 Apr 2019.

Vancouver:

Carvajal Ortega G. Assessing validation and reliability of water and wastewater treatment processes using Bayesian techniques. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Apr 26]. Available from: http://handle.unsw.edu.au/1959.4/59558.

Council of Science Editors:

Carvajal Ortega G. Assessing validation and reliability of water and wastewater treatment processes using Bayesian techniques. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59558


University of Sydney

11. Babbar, Sakshi. Inferring Anomalies from Data using Bayesian Networks .

Degree: 2013, University of Sydney

 Existing studies on data mining has largely focused on the design of measures and algorithms to identify outliers in large and high dimensional categorical and… (more)

Subjects/Keywords: Bayesian networks; outlier; causal inference; knowledge discovery

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APA (6th Edition):

Babbar, S. (2013). Inferring Anomalies from Data using Bayesian Networks . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9371

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):

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Thesis, University of Sydney. Accessed April 26, 2019. http://hdl.handle.net/2123/9371.

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

MLA Handbook (7th Edition):

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Web. 26 Apr 2019.

Vancouver:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/2123/9371.

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

Council of Science Editors:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9371

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


Cornell University

12. Kim, Hwang. Essays On Multi-Activity Analysis .

Degree: 2015, Cornell University

 The dissertation presents marketing issues in which consumers are engaged in more than two activities related to marketing; cross-activity analysis. In particular, the dissertation suggests… (more)

Subjects/Keywords: Multi-category Analysis; Social Networks; Bayesian Statistics

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APA (6th Edition):

Kim, H. (2015). Essays On Multi-Activity Analysis . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/40639

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):

Kim, Hwang. “Essays On Multi-Activity Analysis .” 2015. Thesis, Cornell University. Accessed April 26, 2019. http://hdl.handle.net/1813/40639.

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

MLA Handbook (7th Edition):

Kim, Hwang. “Essays On Multi-Activity Analysis .” 2015. Web. 26 Apr 2019.

Vancouver:

Kim H. Essays On Multi-Activity Analysis . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1813/40639.

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

Council of Science Editors:

Kim H. Essays On Multi-Activity Analysis . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40639

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


Delft University of Technology

13. Seckington, M.J. Using Dynamic Bayesian Networks for Posed versus Spontaneous Facial Expression Recognition:.

Degree: 2011, Delft University of Technology

 Automatic analysis of facial expressions is a complex area of pattern recognition and computer vision with many un- resolved problems, one of which is the… (more)

Subjects/Keywords: dynamic bayesian networks; facial expression recognition

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APA (6th Edition):

Seckington, M. J. (2011). Using Dynamic Bayesian Networks for Posed versus Spontaneous Facial Expression Recognition:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:17de3262-b7a3-400b-8fbc-1b0a25d4d957

Chicago Manual of Style (16th Edition):

Seckington, M J. “Using Dynamic Bayesian Networks for Posed versus Spontaneous Facial Expression Recognition:.” 2011. Masters Thesis, Delft University of Technology. Accessed April 26, 2019. http://resolver.tudelft.nl/uuid:17de3262-b7a3-400b-8fbc-1b0a25d4d957.

MLA Handbook (7th Edition):

Seckington, M J. “Using Dynamic Bayesian Networks for Posed versus Spontaneous Facial Expression Recognition:.” 2011. Web. 26 Apr 2019.

Vancouver:

Seckington MJ. Using Dynamic Bayesian Networks for Posed versus Spontaneous Facial Expression Recognition:. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2019 Apr 26]. Available from: http://resolver.tudelft.nl/uuid:17de3262-b7a3-400b-8fbc-1b0a25d4d957.

Council of Science Editors:

Seckington MJ. Using Dynamic Bayesian Networks for Posed versus Spontaneous Facial Expression Recognition:. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:17de3262-b7a3-400b-8fbc-1b0a25d4d957


Mississippi State University

14. Malone, Brandon. Learning optimal Bayesian networks with heuristic search.

Degree: PhD, Computer Science and Engineering, 2012, Mississippi State University

Bayesian networks are a widely used graphical model which formalize reasoning under uncertainty. Unfortunately, construction of a Bayesian network by an expert is timeconsuming,… (more)

Subjects/Keywords: machine learning; heuristic search; Bayesian networks

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APA (6th Edition):

Malone, B. (2012). Learning optimal Bayesian networks with heuristic search. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;

Chicago Manual of Style (16th Edition):

Malone, Brandon. “Learning optimal Bayesian networks with heuristic search.” 2012. Doctoral Dissertation, Mississippi State University. Accessed April 26, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;.

MLA Handbook (7th Edition):

Malone, Brandon. “Learning optimal Bayesian networks with heuristic search.” 2012. Web. 26 Apr 2019.

Vancouver:

Malone B. Learning optimal Bayesian networks with heuristic search. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2019 Apr 26]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;.

Council of Science Editors:

Malone B. Learning optimal Bayesian networks with heuristic search. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;

15. Walker, Michael Luke. Application of bayesian networks to a longitudinal asthma study.

Degree: 2016, University of Melbourne

 Asthma is a highly prevalent and often serious condition causing significant illness and sometimes death. It typically consumes between 1-3% of the medical budget in… (more)

Subjects/Keywords: bayesian networks; machine learning; asthma; statistics

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APA (6th Edition):

Walker, M. L. (2016). Application of bayesian networks to a longitudinal asthma study. (Masters Thesis). University of Melbourne. Retrieved from http://hdl.handle.net/11343/130061

Chicago Manual of Style (16th Edition):

Walker, Michael Luke. “Application of bayesian networks to a longitudinal asthma study.” 2016. Masters Thesis, University of Melbourne. Accessed April 26, 2019. http://hdl.handle.net/11343/130061.

MLA Handbook (7th Edition):

Walker, Michael Luke. “Application of bayesian networks to a longitudinal asthma study.” 2016. Web. 26 Apr 2019.

Vancouver:

Walker ML. Application of bayesian networks to a longitudinal asthma study. [Internet] [Masters thesis]. University of Melbourne; 2016. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/11343/130061.

Council of Science Editors:

Walker ML. Application of bayesian networks to a longitudinal asthma study. [Masters Thesis]. University of Melbourne; 2016. Available from: http://hdl.handle.net/11343/130061


George Mason University

16. Vang, Jee. Using a Model of Human Cognition of Causality to Orient Arcs in Structural Learning of Bayesian Networks .

Degree: 2009, George Mason University

 In this thesis, I present three novel heuristic algorithms for learning the structure of Bayesian networks (BNs). Two of the algorithms are based on Constructing… (more)

Subjects/Keywords: Bayesian Networks; predictive asymmetry; causality; drug abuse

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

APA (6th Edition):

Vang, J. (2009). Using a Model of Human Cognition of Causality to Orient Arcs in Structural Learning of Bayesian Networks . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/3386

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):

Vang, Jee. “Using a Model of Human Cognition of Causality to Orient Arcs in Structural Learning of Bayesian Networks .” 2009. Thesis, George Mason University. Accessed April 26, 2019. http://hdl.handle.net/1920/3386.

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

MLA Handbook (7th Edition):

Vang, Jee. “Using a Model of Human Cognition of Causality to Orient Arcs in Structural Learning of Bayesian Networks .” 2009. Web. 26 Apr 2019.

Vancouver:

Vang J. Using a Model of Human Cognition of Causality to Orient Arcs in Structural Learning of Bayesian Networks . [Internet] [Thesis]. George Mason University; 2009. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1920/3386.

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

Council of Science Editors:

Vang J. Using a Model of Human Cognition of Causality to Orient Arcs in Structural Learning of Bayesian Networks . [Thesis]. George Mason University; 2009. Available from: http://hdl.handle.net/1920/3386

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


University of Minnesota

17. Jain, Mudit. A new approach to lattice quantum field theories.

Degree: MS, Mathematics, 2018, University of Minnesota

 In this thesis report, I describe an algorithm for lattice simulation of quantum/statistical fields that reduces the complexity of current techniques (Metropolis algorithm) from exponential… (more)

Subjects/Keywords: Bayesian networks; lattice; quantum field theory

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APA (6th Edition):

Jain, M. (2018). A new approach to lattice quantum field theories. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/194653

Chicago Manual of Style (16th Edition):

Jain, Mudit. “A new approach to lattice quantum field theories.” 2018. Masters Thesis, University of Minnesota. Accessed April 26, 2019. http://hdl.handle.net/11299/194653.

MLA Handbook (7th Edition):

Jain, Mudit. “A new approach to lattice quantum field theories.” 2018. Web. 26 Apr 2019.

Vancouver:

Jain M. A new approach to lattice quantum field theories. [Internet] [Masters thesis]. University of Minnesota; 2018. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/11299/194653.

Council of Science Editors:

Jain M. A new approach to lattice quantum field theories. [Masters Thesis]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/194653


University of Illinois – Urbana-Champaign

18. Quinn, Christopher J. Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

 This work examines an information theoretic quantity known as directed information, which measures statistically causal influences between processes. It is shown to be a general… (more)

Subjects/Keywords: information theory; causality; computational neuroscience; Bayesian networks

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APA (6th Edition):

Quinn, C. J. (2010). Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/15989

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):

Quinn, Christopher J. “Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed April 26, 2019. http://hdl.handle.net/2142/15989.

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

MLA Handbook (7th Edition):

Quinn, Christopher J. “Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees.” 2010. Web. 26 Apr 2019.

Vancouver:

Quinn CJ. Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/2142/15989.

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

Council of Science Editors:

Quinn CJ. Estimating directed information to infer causal relationships between neural spike trains and approximating discrete probability distributions with causal dependence trees. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/15989

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


University of Illinois – Urbana-Champaign

19. Shirazi, Afsaneh H. Reasoning with models of probabilistic knowledge over probabilistic knowledge.

Degree: PhD, 0112, 2011, University of Illinois – Urbana-Champaign

 In multi-agent systems, the knowledge of agents about other agents??? knowledge often plays a pivotal role in their decisions. In many applications, this knowledge involves… (more)

Subjects/Keywords: Probabilistic Knowledge; Bayesian Networks; Modal Logic

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APA (6th Edition):

Shirazi, A. H. (2011). Reasoning with models of probabilistic knowledge over probabilistic knowledge. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24239

Chicago Manual of Style (16th Edition):

Shirazi, Afsaneh H. “Reasoning with models of probabilistic knowledge over probabilistic knowledge.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 26, 2019. http://hdl.handle.net/2142/24239.

MLA Handbook (7th Edition):

Shirazi, Afsaneh H. “Reasoning with models of probabilistic knowledge over probabilistic knowledge.” 2011. Web. 26 Apr 2019.

Vancouver:

Shirazi AH. Reasoning with models of probabilistic knowledge over probabilistic knowledge. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/2142/24239.

Council of Science Editors:

Shirazi AH. Reasoning with models of probabilistic knowledge over probabilistic knowledge. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24239


University of Rochester

20. LaCombe, Jason R. Non-Informative Priors for Structural Inference in Bayesian Networks.

Degree: PhD, 2011, University of Rochester

 A fundamental problem in multivariate statistics is the determination of dependency relationships among random variables. Bayesian networks equate the dependency properties of the considered variables… (more)

Subjects/Keywords: Bayesian-Networks; Model-Selection; Prior Graphical Model

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APA (6th Edition):

LaCombe, J. R. (2011). Non-Informative Priors for Structural Inference in Bayesian Networks. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/15981

Chicago Manual of Style (16th Edition):

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Doctoral Dissertation, University of Rochester. Accessed April 26, 2019. http://hdl.handle.net/1802/15981.

MLA Handbook (7th Edition):

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Web. 26 Apr 2019.

Vancouver:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1802/15981.

Council of Science Editors:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/15981


University of Limerick

21. Sheehan, Barry. Risk assessment of emerging technologies using Bayesian networks.

Degree: 2018, University of Limerick

 The benefits of emerging technologies are often recognized prior to the acknowledgement of potential barriers such as legal restrictions, regulatory scrutiny or liability conundrums. Consequently,… (more)

Subjects/Keywords: Bayesian networks; emerging technologies; legal restrictions

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APA (6th Edition):

Sheehan, B. (2018). Risk assessment of emerging technologies using Bayesian networks. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/7552

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):

Sheehan, Barry. “Risk assessment of emerging technologies using Bayesian networks.” 2018. Thesis, University of Limerick. Accessed April 26, 2019. http://hdl.handle.net/10344/7552.

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

MLA Handbook (7th Edition):

Sheehan, Barry. “Risk assessment of emerging technologies using Bayesian networks.” 2018. Web. 26 Apr 2019.

Vancouver:

Sheehan B. Risk assessment of emerging technologies using Bayesian networks. [Internet] [Thesis]. University of Limerick; 2018. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/10344/7552.

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

Council of Science Editors:

Sheehan B. Risk assessment of emerging technologies using Bayesian networks. [Thesis]. University of Limerick; 2018. Available from: http://hdl.handle.net/10344/7552

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


Delft University of Technology

22. Zilko, A.A. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.

Degree: 2012, Delft University of Technology

 Lately, the objective of reservoir engineering is to optimize hydrocarbon recovery from a reservoir. To achieve that goal, a good knowledge of the subsurface properties… (more)

Subjects/Keywords: Ensemble Kalman Filter; Non-Parametric Bayesian Networks; Parameter Estimation; Reservoir Engineering; Reservoir Simulation; Bayesian Networks

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APA (6th Edition):

Zilko, A. A. (2012). Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

Chicago Manual of Style (16th Edition):

Zilko, A A. “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.” 2012. Masters Thesis, Delft University of Technology. Accessed April 26, 2019. http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

MLA Handbook (7th Edition):

Zilko, A A. “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.” 2012. Web. 26 Apr 2019.

Vancouver:

Zilko AA. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Apr 26]. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

Council of Science Editors:

Zilko AA. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8


IUPUI

23. Kilaru, Gokhul Krishna. USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION.

Degree: 2012, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Bayesian networks, one of the most widely used techniques to understand or predict the future by making use of current… (more)

Subjects/Keywords: BAYESIAN NETWORKS, GENE EXPRESSION, DYNAMIC BAYESIAN NETWORKS, HIDDEN MARKOV MODELS; Bayesian statistical decision theory; Gene expression

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APA (6th Edition):

Kilaru, G. K. (2012). USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/2774

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):

Kilaru, Gokhul Krishna. “USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION.” 2012. Thesis, IUPUI. Accessed April 26, 2019. http://hdl.handle.net/1805/2774.

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

MLA Handbook (7th Edition):

Kilaru, Gokhul Krishna. “USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION.” 2012. Web. 26 Apr 2019.

Vancouver:

Kilaru GK. USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION. [Internet] [Thesis]. IUPUI; 2012. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/1805/2774.

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

Council of Science Editors:

Kilaru GK. USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION. [Thesis]. IUPUI; 2012. Available from: http://hdl.handle.net/1805/2774

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


Anna University

24. Thilepa R. Neural and bayesian networks based Fabric defect detection with the Microcontroller in manufacturing Of textiles;.

Degree: Neural and bayesian networks based Fabric defect detection with the Microcontroller in manufacturing Of textiles, 2015, Anna University

In Electrical Engineering Field Image processing is any form of signal newlineprocessing for which the input is an image such as a photograph or video… (more)

Subjects/Keywords: Microcontroller process Noise removal; Neural Networks Bayesian Networks

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APA (6th Edition):

R, T. (2015). Neural and bayesian networks based Fabric defect detection with the Microcontroller in manufacturing Of textiles;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/48961

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):

R, Thilepa. “Neural and bayesian networks based Fabric defect detection with the Microcontroller in manufacturing Of textiles;.” 2015. Thesis, Anna University. Accessed April 26, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/48961.

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

MLA Handbook (7th Edition):

R, Thilepa. “Neural and bayesian networks based Fabric defect detection with the Microcontroller in manufacturing Of textiles;.” 2015. Web. 26 Apr 2019.

Vancouver:

R T. Neural and bayesian networks based Fabric defect detection with the Microcontroller in manufacturing Of textiles;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Apr 26]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/48961.

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

Council of Science Editors:

R T. Neural and bayesian networks based Fabric defect detection with the Microcontroller in manufacturing Of textiles;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/48961

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


NSYSU

25. Chou, Chun-hung. An encoding approach to infer gene regulatory network by Bayesian networks concept.

Degree: Master, Information Management, 2011, NSYSU

 Since the development of high-throughput technologies, we can capture large quantities of geneâs expression data from DNA microarray data, so there are some technologies have… (more)

Subjects/Keywords: gene regulatory networks; Bayesian networks; encode parameter; S-system; estimate parameter

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APA (6th Edition):

Chou, C. (2011). An encoding approach to infer gene regulatory network by Bayesian networks concept. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1017111-211448

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):

Chou, Chun-hung. “An encoding approach to infer gene regulatory network by Bayesian networks concept.” 2011. Thesis, NSYSU. Accessed April 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1017111-211448.

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

MLA Handbook (7th Edition):

Chou, Chun-hung. “An encoding approach to infer gene regulatory network by Bayesian networks concept.” 2011. Web. 26 Apr 2019.

Vancouver:

Chou C. An encoding approach to infer gene regulatory network by Bayesian networks concept. [Internet] [Thesis]. NSYSU; 2011. [cited 2019 Apr 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1017111-211448.

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

Council of Science Editors:

Chou C. An encoding approach to infer gene regulatory network by Bayesian networks concept. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1017111-211448

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


University of Adelaide

26. Kasza, Jessica Eleonore. Bayesian networks for high-dimensional data with complex mean structure.

Degree: 2010, University of Adelaide

 In a microarray experiment, it is expected that there will be correlations between the expression levels of different genes under study. These correlation structures are… (more)

Subjects/Keywords: Bayesian networks; genetic regulatory networks; complex mean structure; high dimensional data

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APA (6th Edition):

Kasza, J. E. (2010). Bayesian networks for high-dimensional data with complex mean structure. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/60532

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):

Kasza, Jessica Eleonore. “Bayesian networks for high-dimensional data with complex mean structure.” 2010. Thesis, University of Adelaide. Accessed April 26, 2019. http://hdl.handle.net/2440/60532.

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

MLA Handbook (7th Edition):

Kasza, Jessica Eleonore. “Bayesian networks for high-dimensional data with complex mean structure.” 2010. Web. 26 Apr 2019.

Vancouver:

Kasza JE. Bayesian networks for high-dimensional data with complex mean structure. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/2440/60532.

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

Council of Science Editors:

Kasza JE. Bayesian networks for high-dimensional data with complex mean structure. [Thesis]. University of Adelaide; 2010. Available from: http://hdl.handle.net/2440/60532

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


University of Minnesota

27. Bandyopadhyay, Sunayan. Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models.

Degree: PhD, Computer Science, 2016, University of Minnesota

 Cardiovascular (CV) disease is one of the leading causes of death in the United States; therefore, it is of vital importance that it be managed… (more)

Subjects/Keywords: Bayesian networks; Cardiovascular risk model; dynamic Bayesian network; Electronic health record data; structure learning

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APA (6th Edition):

Bandyopadhyay, S. (2016). Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/182297

Chicago Manual of Style (16th Edition):

Bandyopadhyay, Sunayan. “Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models.” 2016. Doctoral Dissertation, University of Minnesota. Accessed April 26, 2019. http://hdl.handle.net/11299/182297.

MLA Handbook (7th Edition):

Bandyopadhyay, Sunayan. “Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models.” 2016. Web. 26 Apr 2019.

Vancouver:

Bandyopadhyay S. Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Apr 26]. Available from: http://hdl.handle.net/11299/182297.

Council of Science Editors:

Bandyopadhyay S. Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/182297

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

Degree: 1995, University 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: 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). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/845 ; URN:NBN:NL:UI:10-1874-845 ; URN:NBN:NL:UI:10-1874-845 ; http://dspace.library.uu.nl/handle/1874/845

Chicago Manual of Style (16th Edition):

Bouckaert, R R (Remco Ronaldus). “Bayesian belief networks : from construction to inference.” 1995. Doctoral Dissertation, University Utrecht. Accessed April 26, 2019. http://dspace.library.uu.nl/handle/1874/845 ; URN:NBN:NL:UI:10-1874-845 ; URN:NBN:NL:UI:10-1874-845 ; http://dspace.library.uu.nl/handle/1874/845.

MLA Handbook (7th Edition):

Bouckaert, R R (Remco Ronaldus). “Bayesian belief networks : from construction to inference.” 1995. Web. 26 Apr 2019.

Vancouver:

Bouckaert RR(R. Bayesian belief networks : from construction to inference. [Internet] [Doctoral dissertation]. University Utrecht; 1995. [cited 2019 Apr 26]. Available from: http://dspace.library.uu.nl/handle/1874/845 ; URN:NBN:NL:UI:10-1874-845 ; URN:NBN:NL:UI:10-1874-845 ; http://dspace.library.uu.nl/handle/1874/845.

Council of Science Editors:

Bouckaert RR(R. Bayesian belief networks : from construction to inference. [Doctoral Dissertation]. University Utrecht; 1995. Available from: http://dspace.library.uu.nl/handle/1874/845 ; URN:NBN:NL:UI:10-1874-845 ; URN:NBN:NL:UI:10-1874-845 ; http://dspace.library.uu.nl/handle/1874/845


Delft University of Technology

29. van de Stadt, E.C. Problem-directed Decomposition of Bayesian Belief Networks.

Degree: 1995, Delft University of Technology

Subjects/Keywords: Bayesian belief networks; efficient inference/Bayesian belief networks; planning

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APA (6th Edition):

van de Stadt, E. C. (1995). Problem-directed Decomposition of Bayesian Belief Networks. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; urn:NBN:nl:ui:24-uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; urn:NBN:nl:ui:24-uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; http://resolver.tudelft.nl/uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39

Chicago Manual of Style (16th Edition):

van de Stadt, E C. “Problem-directed Decomposition of Bayesian Belief Networks.” 1995. Doctoral Dissertation, Delft University of Technology. Accessed April 26, 2019. http://resolver.tudelft.nl/uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; urn:NBN:nl:ui:24-uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; urn:NBN:nl:ui:24-uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; http://resolver.tudelft.nl/uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39.

MLA Handbook (7th Edition):

van de Stadt, E C. “Problem-directed Decomposition of Bayesian Belief Networks.” 1995. Web. 26 Apr 2019.

Vancouver:

van de Stadt EC. Problem-directed Decomposition of Bayesian Belief Networks. [Internet] [Doctoral dissertation]. Delft University of Technology; 1995. [cited 2019 Apr 26]. Available from: http://resolver.tudelft.nl/uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; urn:NBN:nl:ui:24-uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; urn:NBN:nl:ui:24-uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; http://resolver.tudelft.nl/uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39.

Council of Science Editors:

van de Stadt EC. Problem-directed Decomposition of Bayesian Belief Networks. [Doctoral Dissertation]. Delft University of Technology; 1995. Available from: http://resolver.tudelft.nl/uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; urn:NBN:nl:ui:24-uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; urn:NBN:nl:ui:24-uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39 ; http://resolver.tudelft.nl/uuid:3a62b38f-6034-4409-bea9-dee0f9fddb39


University of Akron

30. DEETER, ANTHONY E, Deeter. A Web-Based Software System Utilizing Consensus Networks to Infer Gene Interactions.

Degree: PhD, Integrated Bioscience, 2018, University of Akron

 In this dissertation, various methods from the biology and computer science disciplines were integrated to create a web-based software system with which gene interactions can… (more)

Subjects/Keywords: Bioinformatics; Biology; Computer Science; Bayesian Networks; Consensus Networks; Inferred Gene Interactions; Software

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

APA (6th Edition):

DEETER, ANTHONY E, D. (2018). A Web-Based Software System Utilizing Consensus Networks to Infer Gene Interactions. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron152302071289795

Chicago Manual of Style (16th Edition):

DEETER, ANTHONY E, Deeter. “A Web-Based Software System Utilizing Consensus Networks to Infer Gene Interactions.” 2018. Doctoral Dissertation, University of Akron. Accessed April 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron152302071289795.

MLA Handbook (7th Edition):

DEETER, ANTHONY E, Deeter. “A Web-Based Software System Utilizing Consensus Networks to Infer Gene Interactions.” 2018. Web. 26 Apr 2019.

Vancouver:

DEETER, ANTHONY E D. A Web-Based Software System Utilizing Consensus Networks to Infer Gene Interactions. [Internet] [Doctoral dissertation]. University of Akron; 2018. [cited 2019 Apr 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron152302071289795.

Council of Science Editors:

DEETER, ANTHONY E D. A Web-Based Software System Utilizing Consensus Networks to Infer Gene Interactions. [Doctoral Dissertation]. University of Akron; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron152302071289795

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