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498 total matches.

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- 2010 – 2014 (210)
- 2005 – 2009 (124)
- 2000 – 2004 (19)

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Department

- Computer Science (15)
- Informatique (10)

Degrees

- PhD (113)
- Docteur es (44)
- MS (32)
- Mestrado (12)

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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

URL: http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200808_ms

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 July 17, 2019. http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200808_ms.

MLA Handbook (7^{th} Edition):

McAbee, Kevin Todd. “Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace).” 2008. Web. 17 Jul 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 Jul 17]. 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

URL: http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200812_ms

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 July 17, 2019. http://purl.galileo.usg.edu/uga_etd/mcabee_kevin_t_200812_ms.

MLA Handbook (7^{th} Edition):

McAbee, Kevin Todd. “Structured decision making for recovery management of a threatened species, Phoxinus cumberlandensis (blackside dace).” 2008. Web. 17 Jul 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 Jul 17]. 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

URL: http://hdl.handle.net/11427/18284

► 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 (6^{th} 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 (16^{th} 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 July 17, 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 (7^{th} 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. 17 Jul 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 Jul 17]. 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

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

URL: http://handle.unsw.edu.au/1959.4/54917 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36178/SOURCE02?view=true

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

APA (6^{th} 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 (16^{th} 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 July 17, 2019. http://handle.unsw.edu.au/1959.4/54917 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36178/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Farr, Anna. “An application of Bayesian Network modelling to the HIV/AIDS epidemic in the Philippines.” 2015. Web. 17 Jul 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 Jul 17]. 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

URL: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051

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

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

Taheri, Sona. “Learning Bayesian networks based on optimization approaches.” 2012. Doctoral Dissertation, University of Ballarat. Accessed July 17, 2019. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051.

MLA Handbook (7^{th} Edition):

Taheri, Sona. “Learning Bayesian networks based on optimization approaches.” 2012. Web. 17 Jul 2019.

Vancouver:

Taheri S. Learning Bayesian networks based on optimization approaches. [Internet] [Doctoral dissertation]. University of Ballarat; 2012. [cited 2019 Jul 17]. 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

URL: http://www.lib.ncsu.edu/resolver/1840.16/4410

► 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

Record Details Similar Records

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

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

Duarte, Christine Woods. “A New Method for Genetic Network Reconstruction in Expression QTL Data Sets.” 2009. Doctoral Dissertation, North Carolina State University. Accessed July 17, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4410.

MLA Handbook (7^{th} Edition):

Duarte, Christine Woods. “A New Method for Genetic Network Reconstruction in Expression QTL Data Sets.” 2009. Web. 17 Jul 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 Jul 17]. 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

URL: https://lib.dr.iastate.edu/etd/16014

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Sharma, Abhineet. “Using node ordering to improve Structure MCMC for Bayesian Model Averaging.” 2016. Thesis, Iowa State University. Accessed July 17, 2019. https://lib.dr.iastate.edu/etd/16014.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sharma, Abhineet. “Using node ordering to improve Structure MCMC for Bayesian Model Averaging.” 2016. Web. 17 Jul 2019.

Vancouver:

Sharma A. Using node ordering to improve Structure MCMC for Bayesian Model Averaging. [Internet] [Thesis]. Iowa State University; 2016. [cited 2019 Jul 17]. Available from: https://lib.dr.iastate.edu/etd/16014.

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

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

URL: http://hdl.handle.net/2003/22855

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Grzegorczyk, Marco. “Comparative evaluation of different graphical models for the analysis of gene expression data.” 2006. Thesis, Technische Universität Dortmund. Accessed July 17, 2019. http://hdl.handle.net/2003/22855.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Grzegorczyk, Marco. “Comparative evaluation of different graphical models for the analysis of gene expression data.” 2006. Web. 17 Jul 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 Jul 17]. Available from: http://hdl.handle.net/2003/22855.

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

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

URL: http://hdl.handle.net/1802/30122

► 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

Record Details Similar Records

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

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

Tran, Thanh Van. “Threshold Boolean Network Inference and Experimental Design.” 2015. Doctoral Dissertation, University of Rochester. Accessed July 17, 2019. http://hdl.handle.net/1802/30122.

MLA Handbook (7^{th} Edition):

Tran, Thanh Van. “Threshold Boolean Network Inference and Experimental Design.” 2015. Web. 17 Jul 2019.

Vancouver:

Tran TV. Threshold Boolean Network Inference and Experimental Design. [Internet] [Doctoral dissertation]. University of Rochester; 2015. [cited 2019 Jul 17]. 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

URL: http://handle.unsw.edu.au/1959.4/59558

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 July 17, 2019. http://handle.unsw.edu.au/1959.4/59558.

MLA Handbook (7^{th} Edition):

Carvajal Ortega, Guido. “Assessing validation and reliability of water and wastewater treatment processes using Bayesian techniques.” 2018. Web. 17 Jul 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 Jul 17]. 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

URL: http://hdl.handle.net/2123/9371

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Thesis, University of Sydney. Accessed July 17, 2019. http://hdl.handle.net/2123/9371.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Web. 17 Jul 2019.

Vancouver:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/2123/9371.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Limerick

12.
Sheehan, Barry.
Risk assessment of emerging technologies using *Bayesian* * networks*.

Degree: 2018, University of Limerick

URL: http://hdl.handle.net/10344/7552

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Sheehan, Barry. “Risk assessment of emerging technologies using Bayesian networks.” 2018. Thesis, University of Limerick. Accessed July 17, 2019. http://hdl.handle.net/10344/7552.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sheehan, Barry. “Risk assessment of emerging technologies using Bayesian networks.” 2018. Web. 17 Jul 2019.

Vancouver:

Sheehan B. Risk assessment of emerging technologies using Bayesian networks. [Internet] [Thesis]. University of Limerick; 2018. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10344/7552.

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

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

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

Degree: 2015, Cornell University

URL: http://hdl.handle.net/1813/40639

► 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

Record Details Similar Records

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Kim, Hwang. “Essays On Multi-Activity Analysis .” 2015. Thesis, Cornell University. Accessed July 17, 2019. http://hdl.handle.net/1813/40639.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kim, Hwang. “Essays On Multi-Activity Analysis .” 2015. Web. 17 Jul 2019.

Vancouver:

Kim H. Essays On Multi-Activity Analysis . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1813/40639.

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

Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

14.
Seckington, M.J.
Using Dynamic *Bayesian* *Networks* for Posed versus Spontaneous Facial Expression Recognition:.

Degree: 2011, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:17de3262-b7a3-400b-8fbc-1b0a25d4d957

► 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

Record Details Similar Records

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

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

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

MLA Handbook (7^{th} Edition):

Seckington, M J. “Using Dynamic Bayesian Networks for Posed versus Spontaneous Facial Expression Recognition:.” 2011. Web. 17 Jul 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 Jul 17]. 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

15.
Malone, Brandon.
Learning optimal *Bayesian* *networks* with heuristic search.

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

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;

► *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

Record Details Similar Records

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

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

Malone, Brandon. “Learning optimal Bayesian networks with heuristic search.” 2012. Doctoral Dissertation, Mississippi State University. Accessed July 17, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06202012-144942/ ;.

MLA Handbook (7^{th} Edition):

Malone, Brandon. “Learning optimal Bayesian networks with heuristic search.” 2012. Web. 17 Jul 2019.

Vancouver:

Malone B. Learning optimal Bayesian networks with heuristic search. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2019 Jul 17]. 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/ ;

16.
Walker, Michael Luke.
Application of *bayesian* *networks* to a longitudinal asthma study.

Degree: 2016, University of Melbourne

URL: http://hdl.handle.net/11343/130061

► 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

Record Details Similar Records

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

Walker, Michael Luke. “Application of bayesian networks to a longitudinal asthma study.” 2016. Masters Thesis, University of Melbourne. Accessed July 17, 2019. http://hdl.handle.net/11343/130061.

MLA Handbook (7^{th} Edition):

Walker, Michael Luke. “Application of bayesian networks to a longitudinal asthma study.” 2016. Web. 17 Jul 2019.

Vancouver:

Walker ML. Application of bayesian networks to a longitudinal asthma study. [Internet] [Masters thesis]. University of Melbourne; 2016. [cited 2019 Jul 17]. 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

17.
Vang, Jee.
Using a Model of Human Cognition of Causality to Orient Arcs in Structural Learning of *Bayesian* * Networks*
.

Degree: 2009, George Mason University

URL: http://hdl.handle.net/1920/3386

► 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

Record Details Similar Records

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APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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 July 17, 2019. http://hdl.handle.net/1920/3386.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Vang, Jee. “Using a Model of Human Cognition of Causality to Orient Arcs in Structural Learning of Bayesian Networks .” 2009. Web. 17 Jul 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 Jul 17]. Available from: http://hdl.handle.net/1920/3386.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

18. El-Awady, Ahmed. Probabilistic Failure Analysis of Complex Systems with Case Studies in Nuclear and Hydropower Industries.

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/14742

► Detailed Monte-Carlo simulation of a complex system is the benchmark method used in probabilistic analysis of engineering systems under multiple uncertain sources of failure modes;…
(more)

Subjects/Keywords: failure analysis; complex systems; Bayesian networks

Record Details Similar Records

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APA (6^{th} Edition):

El-Awady, A. (2019). Probabilistic Failure Analysis of Complex Systems with Case Studies in Nuclear and Hydropower Industries. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14742

Not specified: Masters Thesis or Doctoral Dissertation

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

El-Awady, Ahmed. “Probabilistic Failure Analysis of Complex Systems with Case Studies in Nuclear and Hydropower Industries.” 2019. Thesis, University of Waterloo. Accessed July 17, 2019. http://hdl.handle.net/10012/14742.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

El-Awady, Ahmed. “Probabilistic Failure Analysis of Complex Systems with Case Studies in Nuclear and Hydropower Industries.” 2019. Web. 17 Jul 2019.

Vancouver:

El-Awady A. Probabilistic Failure Analysis of Complex Systems with Case Studies in Nuclear and Hydropower Industries. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10012/14742.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

El-Awady A. Probabilistic Failure Analysis of Complex Systems with Case Studies in Nuclear and Hydropower Industries. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14742

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

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

Degree: MS, Mathematics, 2018, University of Minnesota

URL: http://hdl.handle.net/11299/194653

► 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

Record Details Similar Records

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

Jain, Mudit. “A new approach to lattice quantum field theories.” 2018. Masters Thesis, University of Minnesota. Accessed July 17, 2019. http://hdl.handle.net/11299/194653.

MLA Handbook (7^{th} Edition):

Jain, Mudit. “A new approach to lattice quantum field theories.” 2018. Web. 17 Jul 2019.

Vancouver:

Jain M. A new approach to lattice quantum field theories. [Internet] [Masters thesis]. University of Minnesota; 2018. [cited 2019 Jul 17]. 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

20. 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

URL: http://hdl.handle.net/2142/15989

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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 July 17, 2019. http://hdl.handle.net/2142/15989.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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. 17 Jul 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 Jul 17]. Available from: http://hdl.handle.net/2142/15989.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

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

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

URL: http://hdl.handle.net/2142/24239

► 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

Record Details Similar Records

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

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

Shirazi, Afsaneh H. “Reasoning with models of probabilistic knowledge over probabilistic knowledge.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 17, 2019. http://hdl.handle.net/2142/24239.

MLA Handbook (7^{th} Edition):

Shirazi, Afsaneh H. “Reasoning with models of probabilistic knowledge over probabilistic knowledge.” 2011. Web. 17 Jul 2019.

Vancouver:

Shirazi AH. Reasoning with models of probabilistic knowledge over probabilistic knowledge. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Jul 17]. 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

22.
LaCombe, Jason R.
Non-Informative Priors for Structural Inference in
*Bayesian* * Networks*.

Degree: PhD, 2011, University of Rochester

URL: http://hdl.handle.net/1802/15981

► 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

Record Details Similar Records

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

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

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Doctoral Dissertation, University of Rochester. Accessed July 17, 2019. http://hdl.handle.net/1802/15981.

MLA Handbook (7^{th} Edition):

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Web. 17 Jul 2019.

Vancouver:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2019 Jul 17]. 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

23.
Reyes Moncayo, Hector Ivan.
* Bayesian* Modeling For Dealing With Uncertainty In Cognitive Radios.

Degree: PhD, Electrical Engineering, 2014, University of North Dakota

URL: https://commons.und.edu/theses/1699

► Wireless communication systems can be affected by several factors, including propagation losses, co-channel interference, and multipath fading. Uncertainty affects all of these factors making…
(more)

Subjects/Keywords: Bayesian Networks; Cognitive Radio; Influence Diagrams; Uncertainty

Record Details Similar Records

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

APA (6^{th} Edition):

Reyes Moncayo, H. I. (2014). Bayesian Modeling For Dealing With Uncertainty In Cognitive Radios. (Doctoral Dissertation). University of North Dakota. Retrieved from https://commons.und.edu/theses/1699

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

Reyes Moncayo, Hector Ivan. “Bayesian Modeling For Dealing With Uncertainty In Cognitive Radios.” 2014. Doctoral Dissertation, University of North Dakota. Accessed July 17, 2019. https://commons.und.edu/theses/1699.

MLA Handbook (7^{th} Edition):

Reyes Moncayo, Hector Ivan. “Bayesian Modeling For Dealing With Uncertainty In Cognitive Radios.” 2014. Web. 17 Jul 2019.

Vancouver:

Reyes Moncayo HI. Bayesian Modeling For Dealing With Uncertainty In Cognitive Radios. [Internet] [Doctoral dissertation]. University of North Dakota; 2014. [cited 2019 Jul 17]. Available from: https://commons.und.edu/theses/1699.

Council of Science Editors:

Reyes Moncayo HI. Bayesian Modeling For Dealing With Uncertainty In Cognitive Radios. [Doctoral Dissertation]. University of North Dakota; 2014. Available from: https://commons.und.edu/theses/1699

Delft University of Technology

24.
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

URL: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 July 17, 2019. http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

MLA Handbook (7^{th} Edition):

Zilko, A A. “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.” 2012. Web. 17 Jul 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 Jul 17]. 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

25.
Kilaru, Gokhul Krishna.
USE OF APRIORI KNOWLEDGE ON DYNAMIC *BAYESIAN* MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION.

Degree: 2012, IUPUI

URL: http://hdl.handle.net/1805/2774

►

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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Kilaru, Gokhul Krishna. “USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION.” 2012. Thesis, IUPUI. Accessed July 17, 2019. http://hdl.handle.net/1805/2774.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kilaru, Gokhul Krishna. “USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION.” 2012. Web. 17 Jul 2019.

Vancouver:

Kilaru GK. USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION. [Internet] [Thesis]. IUPUI; 2012. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1805/2774.

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

Not specified: Masters Thesis or Doctoral Dissertation

Anna University

26.
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

URL: http://shodhganga.inflibnet.ac.in/handle/10603/48961

►

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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

R, Thilepa. “Neural and bayesian networks based Fabric defect detection with the Microcontroller in manufacturing Of textiles;.” 2015. Thesis, Anna University. Accessed July 17, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/48961.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

R, Thilepa. “Neural and bayesian networks based Fabric defect detection with the Microcontroller in manufacturing Of textiles;.” 2015. Web. 17 Jul 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 Jul 17]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/48961.

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

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

27.
Chou, Chun-hung.
An encoding approach to infer gene regulatory network by *Bayesian* *networks* concept.

Degree: Master, Information Management, 2011, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1017111-211448

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Chou, Chun-hung. “An encoding approach to infer gene regulatory network by Bayesian networks concept.” 2011. Thesis, NSYSU. Accessed July 17, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1017111-211448.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chou, Chun-hung. “An encoding approach to infer gene regulatory network by Bayesian networks concept.” 2011. Web. 17 Jul 2019.

Vancouver:

Chou C. An encoding approach to infer gene regulatory network by Bayesian networks concept. [Internet] [Thesis]. NSYSU; 2011. [cited 2019 Jul 17]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1017111-211448.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Adelaide

28.
Kasza, Jessica Eleonore.
*Bayesian**networks* for high-dimensional data with complex mean structure.

Degree: 2010, University of Adelaide

URL: http://hdl.handle.net/2440/60532

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Kasza, Jessica Eleonore. “Bayesian networks for high-dimensional data with complex mean structure.” 2010. Thesis, University of Adelaide. Accessed July 17, 2019. http://hdl.handle.net/2440/60532.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kasza, Jessica Eleonore. “Bayesian networks for high-dimensional data with complex mean structure.” 2010. Web. 17 Jul 2019.

Vancouver:

Kasza JE. Bayesian networks for high-dimensional data with complex mean structure. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/2440/60532.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

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

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

URL: http://hdl.handle.net/11299/182297

► 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

Record Details Similar Records

❌

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

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

Bandyopadhyay, Sunayan. “Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models.” 2016. Doctoral Dissertation, University of Minnesota. Accessed July 17, 2019. http://hdl.handle.net/11299/182297.

MLA Handbook (7^{th} Edition):

Bandyopadhyay, Sunayan. “Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models.” 2016. Web. 17 Jul 2019.

Vancouver:

Bandyopadhyay S. Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Jul 17]. 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

Delft University of Technology

30.
van de Stadt, E.C.
Problem-directed Decomposition of *Bayesian* Belief * Networks*.

Degree: 1995, Delft University of Technology

URL: 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

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

Record Details Similar Records

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

van de Stadt, E C. “Problem-directed Decomposition of Bayesian Belief Networks.” 1995. Doctoral Dissertation, Delft University of Technology. Accessed July 17, 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 (7^{th} Edition):

van de Stadt, E C. “Problem-directed Decomposition of Bayesian Belief Networks.” 1995. Web. 17 Jul 2019.

Vancouver:

van de Stadt EC. Problem-directed Decomposition of Bayesian Belief Networks. [Internet] [Doctoral dissertation]. Delft University of Technology; 1995. [cited 2019 Jul 17]. 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