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You searched for subject:(Bayesian Network). Showing records 1 – 30 of 350 total matches.

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Texas A&M University

1. Alyami, Abdullah. Using Bayesian Network to Develop Drilling Expert Systems.

Degree: 2012, Texas A&M University

 Long years of experience in the field and sometimes in the lab are required to develop consultants. Texas A&M University recently has established a new… (more)

Subjects/Keywords: Drilling Expert System; bayesian network

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APA (6th Edition):

Alyami, A. (2012). Using Bayesian Network to Develop Drilling Expert Systems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11454

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):

Alyami, Abdullah. “Using Bayesian Network to Develop Drilling Expert Systems.” 2012. Thesis, Texas A&M University. Accessed October 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11454.

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

MLA Handbook (7th Edition):

Alyami, Abdullah. “Using Bayesian Network to Develop Drilling Expert Systems.” 2012. Web. 18 Oct 2019.

Vancouver:

Alyami A. Using Bayesian Network to Develop Drilling Expert Systems. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11454.

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

Council of Science Editors:

Alyami A. Using Bayesian Network to Develop Drilling Expert Systems. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11454

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


University of Technology, Sydney

2. Patel, M. A probabilistic model for assistive robotics devices to support activities of daily living.

Degree: 2014, University of Technology, Sydney

 This thesis explores probabilistic techniques to model interactions between humans and robotic devices. The work is motivated by the rapid increase in the ageing population… (more)

Subjects/Keywords: Assistive robotics.; Dynamic Bayesian network.

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APA (6th Edition):

Patel, M. (2014). A probabilistic model for assistive robotics devices to support activities of daily living. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/29215

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):

Patel, M. “A probabilistic model for assistive robotics devices to support activities of daily living.” 2014. Thesis, University of Technology, Sydney. Accessed October 18, 2019. http://hdl.handle.net/10453/29215.

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

MLA Handbook (7th Edition):

Patel, M. “A probabilistic model for assistive robotics devices to support activities of daily living.” 2014. Web. 18 Oct 2019.

Vancouver:

Patel M. A probabilistic model for assistive robotics devices to support activities of daily living. [Internet] [Thesis]. University of Technology, Sydney; 2014. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10453/29215.

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

Council of Science Editors:

Patel M. A probabilistic model for assistive robotics devices to support activities of daily living. [Thesis]. University of Technology, Sydney; 2014. Available from: http://hdl.handle.net/10453/29215

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


Boston University

3. Bae, Harold Taehyun. Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data.

Degree: PhD, Biostatistics, 2014, Boston University

 The global aim of this dissertation is to develop advanced statistical modeling to understand the genetic basis of complex polygenic traits. In order to achieve… (more)

Subjects/Keywords: Biostatistics; Bayesian; Network; Parameterization; GWAS

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APA (6th Edition):

Bae, H. T. (2014). Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/15337

Chicago Manual of Style (16th Edition):

Bae, Harold Taehyun. “Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data.” 2014. Doctoral Dissertation, Boston University. Accessed October 18, 2019. http://hdl.handle.net/2144/15337.

MLA Handbook (7th Edition):

Bae, Harold Taehyun. “Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data.” 2014. Web. 18 Oct 2019.

Vancouver:

Bae HT. Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data. [Internet] [Doctoral dissertation]. Boston University; 2014. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2144/15337.

Council of Science Editors:

Bae HT. Understanding the genetic basis of complex polygenic traits through Bayesian model selection of multiple genetic models and network modeling of family-based genetic data. [Doctoral Dissertation]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15337


Mississippi State University

4. Banghart, Marc. Bayesian network analysis for diagnostics and prognostics of engineering systems.

Degree: PhD, Industrial and Systems Engineering, 2017, Mississippi State University

Bayesian networks have been applied to many different domains to perform prognostics, reduce risk and ultimately improve decision making. However, these methods have not… (more)

Subjects/Keywords: risk; prognostics; diagnostics; network; bayesian

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APA (6th Edition):

Banghart, M. (2017). Bayesian network analysis for diagnostics and prognostics of engineering systems. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04202017-144204/ ;

Chicago Manual of Style (16th Edition):

Banghart, Marc. “Bayesian network analysis for diagnostics and prognostics of engineering systems.” 2017. Doctoral Dissertation, Mississippi State University. Accessed October 18, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04202017-144204/ ;.

MLA Handbook (7th Edition):

Banghart, Marc. “Bayesian network analysis for diagnostics and prognostics of engineering systems.” 2017. Web. 18 Oct 2019.

Vancouver:

Banghart M. Bayesian network analysis for diagnostics and prognostics of engineering systems. [Internet] [Doctoral dissertation]. Mississippi State University; 2017. [cited 2019 Oct 18]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04202017-144204/ ;.

Council of Science Editors:

Banghart M. Bayesian network analysis for diagnostics and prognostics of engineering systems. [Doctoral Dissertation]. Mississippi State University; 2017. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04202017-144204/ ;


Texas A&M University

5. Leon Caceres, Susana. Safety Problems Caused by Hydrate Formation in Deepwater Production Operation.

Degree: MS, Safety Engineering, 2017, Texas A&M University

 Although hydrate formation phenomenon has been identified for many years, this is still one of the most challenging problems in oil & gas industry as… (more)

Subjects/Keywords: Hydrates; Safety; Bayesian Network; Reliability

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APA (6th Edition):

Leon Caceres, S. (2017). Safety Problems Caused by Hydrate Formation in Deepwater Production Operation. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166040

Chicago Manual of Style (16th Edition):

Leon Caceres, Susana. “Safety Problems Caused by Hydrate Formation in Deepwater Production Operation.” 2017. Masters Thesis, Texas A&M University. Accessed October 18, 2019. http://hdl.handle.net/1969.1/166040.

MLA Handbook (7th Edition):

Leon Caceres, Susana. “Safety Problems Caused by Hydrate Formation in Deepwater Production Operation.” 2017. Web. 18 Oct 2019.

Vancouver:

Leon Caceres S. Safety Problems Caused by Hydrate Formation in Deepwater Production Operation. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1969.1/166040.

Council of Science Editors:

Leon Caceres S. Safety Problems Caused by Hydrate Formation in Deepwater Production Operation. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166040


Texas A&M University

6. Barua, Shubharthi. Dynamic Operational Risk Assessment with Bayesian Network.

Degree: 2012, Texas A&M University

 Oil/gas and petrochemical plants are complicated and dynamic in nature. Dynamic characteristics include ageing of equipment/components, season changes, stochastic processes, operator response times, inspection and… (more)

Subjects/Keywords: Bayesian network; dynamic Bayesian network; dynamic operational risk assessment

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APA (6th Edition):

Barua, S. (2012). Dynamic Operational Risk Assessment with Bayesian Network. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11573

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):

Barua, Shubharthi. “Dynamic Operational Risk Assessment with Bayesian Network.” 2012. Thesis, Texas A&M University. Accessed October 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11573.

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

MLA Handbook (7th Edition):

Barua, Shubharthi. “Dynamic Operational Risk Assessment with Bayesian Network.” 2012. Web. 18 Oct 2019.

Vancouver:

Barua S. Dynamic Operational Risk Assessment with Bayesian Network. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11573.

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

Council of Science Editors:

Barua S. Dynamic Operational Risk Assessment with Bayesian Network. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11573

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


University of Iowa

7. Donaldson Soberanis, Ivy Elizabeth. An extended Bayesian network approach for analyzing supply chain disruptions.

Degree: PhD, Industrial Engineering, 2010, University of Iowa

  Supply chain management (SCM) is the oversight of materials, information, and finances as they move in a process from supplier to manufacturer to wholesaler… (more)

Subjects/Keywords: Bayesian Network; Bayesian Network Learning; Neural Network; Supply Chain Disruption; Industrial Engineering

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APA (6th Edition):

Donaldson Soberanis, I. E. (2010). An extended Bayesian network approach for analyzing supply chain disruptions. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/489

Chicago Manual of Style (16th Edition):

Donaldson Soberanis, Ivy Elizabeth. “An extended Bayesian network approach for analyzing supply chain disruptions.” 2010. Doctoral Dissertation, University of Iowa. Accessed October 18, 2019. https://ir.uiowa.edu/etd/489.

MLA Handbook (7th Edition):

Donaldson Soberanis, Ivy Elizabeth. “An extended Bayesian network approach for analyzing supply chain disruptions.” 2010. Web. 18 Oct 2019.

Vancouver:

Donaldson Soberanis IE. An extended Bayesian network approach for analyzing supply chain disruptions. [Internet] [Doctoral dissertation]. University of Iowa; 2010. [cited 2019 Oct 18]. Available from: https://ir.uiowa.edu/etd/489.

Council of Science Editors:

Donaldson Soberanis IE. An extended Bayesian network approach for analyzing supply chain disruptions. [Doctoral Dissertation]. University of Iowa; 2010. Available from: https://ir.uiowa.edu/etd/489


University of Edinburgh

8. Yang, Xi. Applying stochastic programming models in financial risk management.

Degree: 2010, University of Edinburgh

 This research studies two modelling techniques that help seek optimal strategies in financial risk management. Both are based on the stochastic programming methodology. The first… (more)

Subjects/Keywords: 332; risk management; stochastic dominance; bayesian network

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APA (6th Edition):

Yang, X. (2010). Applying stochastic programming models in financial risk management. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4068

Chicago Manual of Style (16th Edition):

Yang, Xi. “Applying stochastic programming models in financial risk management.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed October 18, 2019. http://hdl.handle.net/1842/4068.

MLA Handbook (7th Edition):

Yang, Xi. “Applying stochastic programming models in financial risk management.” 2010. Web. 18 Oct 2019.

Vancouver:

Yang X. Applying stochastic programming models in financial risk management. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1842/4068.

Council of Science Editors:

Yang X. Applying stochastic programming models in financial risk management. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4068


Georgia State University

9. Chen, Le. Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines.

Degree: MS, Mathematics and Statistics, 2016, Georgia State University

  Sea-level rise is projected to have a wide range of effects on coastal environments, developments, and infrastructure. Based on the U.S. Geological Survey (USGS)… (more)

Subjects/Keywords: Bayesian Network; Direct Factors; Shoreline Erosion

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APA (6th Edition):

Chen, L. (2016). Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/155

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):

Chen, Le. “Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines.” 2016. Thesis, Georgia State University. Accessed October 18, 2019. https://scholarworks.gsu.edu/math_theses/155.

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

MLA Handbook (7th Edition):

Chen, Le. “Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines.” 2016. Web. 18 Oct 2019.

Vancouver:

Chen L. Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines. [Internet] [Thesis]. Georgia State University; 2016. [cited 2019 Oct 18]. Available from: https://scholarworks.gsu.edu/math_theses/155.

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

Council of Science Editors:

Chen L. Seeking Direct Coastal Erosion Associated Factors in the United States Shorelines. [Thesis]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/math_theses/155

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

10. Dirksen, M. DNA mixture analysis.

Degree: 2014, Universiteit Utrecht

 A model for peak height distribution using the bivariate normal distribution is proposed to deal with some flaws of the already established model using the… (more)

Subjects/Keywords: DNA mixtures; bayesian network; forensic science

…Es ) . (31) θ,φ 5.2 Bayesian network Si1 Si2 Si3 Si4 Si5 Si6 Partial sums of allele… …allele counts Figure 1: Bayesian network with nia -variables representing allele counts of… …bayesian network is dependent on the model used as well. In both cases the O-variables will be… …Figure 2: Bayesian network used for the Bivariate Normal model with nia -variables representing… …variables, the structure of the bayesian network used for the Gamma model (figure 1) would suffice… 

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APA (6th Edition):

Dirksen, M. (2014). DNA mixture analysis. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/296913

Chicago Manual of Style (16th Edition):

Dirksen, M. “DNA mixture analysis.” 2014. Masters Thesis, Universiteit Utrecht. Accessed October 18, 2019. http://dspace.library.uu.nl:8080/handle/1874/296913.

MLA Handbook (7th Edition):

Dirksen, M. “DNA mixture analysis.” 2014. Web. 18 Oct 2019.

Vancouver:

Dirksen M. DNA mixture analysis. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2019 Oct 18]. Available from: http://dspace.library.uu.nl:8080/handle/1874/296913.

Council of Science Editors:

Dirksen M. DNA mixture analysis. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/296913


University of Saskatchewan

11. Liu, Jian. Individualized selection of learning objects.

Degree: 2009, University of Saskatchewan

 Rapidly evolving Internet and web technologies and international efforts on standardization of learning object metadata enable learners in a web-based educational system ubiquitous access to… (more)

Subjects/Keywords: learning object; selection; metadata; Bayesian network

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APA (6th Edition):

Liu, J. (2009). Individualized selection of learning objects. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-05122009-093502

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):

Liu, Jian. “Individualized selection of learning objects.” 2009. Thesis, University of Saskatchewan. Accessed October 18, 2019. http://hdl.handle.net/10388/etd-05122009-093502.

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

MLA Handbook (7th Edition):

Liu, Jian. “Individualized selection of learning objects.” 2009. Web. 18 Oct 2019.

Vancouver:

Liu J. Individualized selection of learning objects. [Internet] [Thesis]. University of Saskatchewan; 2009. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10388/etd-05122009-093502.

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

Council of Science Editors:

Liu J. Individualized selection of learning objects. [Thesis]. University of Saskatchewan; 2009. Available from: http://hdl.handle.net/10388/etd-05122009-093502

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


Virginia Tech

12. Burns, Meghan Colleen. Safety of Flight Prediction for Small Unmanned Aerial Vehicles Using Dynamic Bayesian Networks.

Degree: MS, Aerospace and Ocean Engineering, 2018, Virginia Tech

 This thesis compares three variations of the Bayesian network as an aid for decision-making using uncertain information. After reviewing the basic theory underlying probabilistic graphical… (more)

Subjects/Keywords: Dynamic Bayesian Network; Unmanned Aerial Systems; Risk

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APA (6th Edition):

Burns, M. C. (2018). Safety of Flight Prediction for Small Unmanned Aerial Vehicles Using Dynamic Bayesian Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83381

Chicago Manual of Style (16th Edition):

Burns, Meghan Colleen. “Safety of Flight Prediction for Small Unmanned Aerial Vehicles Using Dynamic Bayesian Networks.” 2018. Masters Thesis, Virginia Tech. Accessed October 18, 2019. http://hdl.handle.net/10919/83381.

MLA Handbook (7th Edition):

Burns, Meghan Colleen. “Safety of Flight Prediction for Small Unmanned Aerial Vehicles Using Dynamic Bayesian Networks.” 2018. Web. 18 Oct 2019.

Vancouver:

Burns MC. Safety of Flight Prediction for Small Unmanned Aerial Vehicles Using Dynamic Bayesian Networks. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10919/83381.

Council of Science Editors:

Burns MC. Safety of Flight Prediction for Small Unmanned Aerial Vehicles Using Dynamic Bayesian Networks. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83381

13. Lindberg, Martin. Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks.

Degree: Physics, 2013, Umeå University

  This thesis work, conducted at Ericsson Software Research, aims to recommend a system setup for a tool to help troubleshooting personal at network operation… (more)

Subjects/Keywords: Bayesian network

…Configuration Server BBN – Bayesian Belief Network BN – Bayesian Network BO – Back Office BPEL… …different algorithms to build a Bayesian network and a discussion about discretisation of… …what a Bayesian network is which is followed by related explanation methods. Last in this… …or prone it. [12] [13] 3.1.2 Bayesian network (BN) Bayesian… …independent if knowledge about the causes is provided. 3.4 Bayesian Networks A Bayesian network… 

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APA (6th Edition):

Lindberg, M. (2013). Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73666

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):

Lindberg, Martin. “Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks.” 2013. Thesis, Umeå University. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73666.

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

MLA Handbook (7th Edition):

Lindberg, Martin. “Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks.” 2013. Web. 18 Oct 2019.

Vancouver:

Lindberg M. Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks. [Internet] [Thesis]. Umeå University; 2013. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73666.

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

Council of Science Editors:

Lindberg M. Decision Support Systems: Diagnostics and Explanation methods : In the context of telecommunication networks. [Thesis]. Umeå University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73666

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


Georgia Tech

14. Applegate, Chloe Johansen. New framework for probabilistic interdependency modeling and critical component identification to increase infrastructure system resilience.

Degree: PhD, Civil and Environmental Engineering, 2018, Georgia Tech

 Cascading failures of interdependent infrastructure networks have become increasingly critical as revealed by recent natural disasters and human disruptions. By determining how relationships between different… (more)

Subjects/Keywords: Critical infrastructure; Interdependencies; Bayesian network; Probabilistic

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APA (6th Edition):

Applegate, C. J. (2018). New framework for probabilistic interdependency modeling and critical component identification to increase infrastructure system resilience. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60300

Chicago Manual of Style (16th Edition):

Applegate, Chloe Johansen. “New framework for probabilistic interdependency modeling and critical component identification to increase infrastructure system resilience.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 18, 2019. http://hdl.handle.net/1853/60300.

MLA Handbook (7th Edition):

Applegate, Chloe Johansen. “New framework for probabilistic interdependency modeling and critical component identification to increase infrastructure system resilience.” 2018. Web. 18 Oct 2019.

Vancouver:

Applegate CJ. New framework for probabilistic interdependency modeling and critical component identification to increase infrastructure system resilience. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1853/60300.

Council of Science Editors:

Applegate CJ. New framework for probabilistic interdependency modeling and critical component identification to increase infrastructure system resilience. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60300


Iowa State University

15. Dokoohaki, Hamze. The promise of biochar: From lab experiment to national scale impacts.

Degree: 2018, Iowa State University

 Biochar is a carbon rich soil amendment produced from biomass by a thermochemical process, pyrolysis or gasication. Soil biochar applications have generated a great deal… (more)

Subjects/Keywords: APSIM; Bayesian Network; Biochar; Crop modeling; Agriculture

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APA (6th Edition):

Dokoohaki, H. (2018). The promise of biochar: From lab experiment to national scale impacts. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16570

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):

Dokoohaki, Hamze. “The promise of biochar: From lab experiment to national scale impacts.” 2018. Thesis, Iowa State University. Accessed October 18, 2019. https://lib.dr.iastate.edu/etd/16570.

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

MLA Handbook (7th Edition):

Dokoohaki, Hamze. “The promise of biochar: From lab experiment to national scale impacts.” 2018. Web. 18 Oct 2019.

Vancouver:

Dokoohaki H. The promise of biochar: From lab experiment to national scale impacts. [Internet] [Thesis]. Iowa State University; 2018. [cited 2019 Oct 18]. Available from: https://lib.dr.iastate.edu/etd/16570.

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

Council of Science Editors:

Dokoohaki H. The promise of biochar: From lab experiment to national scale impacts. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16570

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


University of Toronto

16. Singhal, Tarun Kumar. CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF).

Degree: 2018, University of Toronto

Disruptive events (e.g., earthquakes or floods) causes severe damage to civil infrastructural systems, and there is need to extend the focus of traditional design practices… (more)

Subjects/Keywords: bayesian network; fragility; functionality; resilience; software; 0537

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

APA (6th Edition):

Singhal, T. K. (2018). CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF). (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91577

Chicago Manual of Style (16th Edition):

Singhal, Tarun Kumar. “CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF).” 2018. Masters Thesis, University of Toronto. Accessed October 18, 2019. http://hdl.handle.net/1807/91577.

MLA Handbook (7th Edition):

Singhal, Tarun Kumar. “CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF).” 2018. Web. 18 Oct 2019.

Vancouver:

Singhal TK. CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF). [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1807/91577.

Council of Science Editors:

Singhal TK. CIVIL INFRASTRUCTURE RESILIENCE ASSESSMENT FRAMEWORK (CIRAF). [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91577


University of Guelph

17. Jiang, Qian. Approximation of General CPTs with NIN-AND Tree Models .

Degree: 2017, University of Guelph

 A Bayesian network (BN) is a probabilistic graphical model representing causal dependence and conditional independence among domain variables. The strength of dependence is quantified by… (more)

Subjects/Keywords: Bayesian Network; CPT; NIN-AND Tree Model

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APA (6th Edition):

Jiang, Q. (2017). Approximation of General CPTs with NIN-AND Tree Models . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10164

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):

Jiang, Qian. “Approximation of General CPTs with NIN-AND Tree Models .” 2017. Thesis, University of Guelph. Accessed October 18, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10164.

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

MLA Handbook (7th Edition):

Jiang, Qian. “Approximation of General CPTs with NIN-AND Tree Models .” 2017. Web. 18 Oct 2019.

Vancouver:

Jiang Q. Approximation of General CPTs with NIN-AND Tree Models . [Internet] [Thesis]. University of Guelph; 2017. [cited 2019 Oct 18]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10164.

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

Council of Science Editors:

Jiang Q. Approximation of General CPTs with NIN-AND Tree Models . [Thesis]. University of Guelph; 2017. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10164

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

18. LIU TIEFEI. Learning gene network using Bayesian network framework.

Degree: 2006, National University of Singapore

Subjects/Keywords: Gene network; Bayesian network

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

APA (6th Edition):

TIEFEI, L. (2006). Learning gene network using Bayesian network framework. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/15394

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):

TIEFEI, LIU. “Learning gene network using Bayesian network framework.” 2006. Thesis, National University of Singapore. Accessed October 18, 2019. http://scholarbank.nus.edu.sg/handle/10635/15394.

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

MLA Handbook (7th Edition):

TIEFEI, LIU. “Learning gene network using Bayesian network framework.” 2006. Web. 18 Oct 2019.

Vancouver:

TIEFEI L. Learning gene network using Bayesian network framework. [Internet] [Thesis]. National University of Singapore; 2006. [cited 2019 Oct 18]. Available from: http://scholarbank.nus.edu.sg/handle/10635/15394.

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

Council of Science Editors:

TIEFEI L. Learning gene network using Bayesian network framework. [Thesis]. National University of Singapore; 2006. Available from: http://scholarbank.nus.edu.sg/handle/10635/15394

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


University of New South Wales

19. Ahmed, Shabbir. Message forwarding in people-centric delay tolerant networks.

Degree: Computer Science & Engineering, 2010, University of New South Wales

 This thesis concentrates on the message forwarding issues of real-world people-centric Delay Tolerant Networks (DTN), such as Pocket Switched Networks (PSN) and Vehicular Ad-hoc Networks… (more)

Subjects/Keywords: Message Forwarding; DTN; Routing; Network Coding; Bayesian; Delay Tolerant Network

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

APA (6th Edition):

Ahmed, S. (2010). Message forwarding in people-centric delay tolerant networks. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/45536 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8831/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Ahmed, Shabbir. “Message forwarding in people-centric delay tolerant networks.” 2010. Doctoral Dissertation, University of New South Wales. Accessed October 18, 2019. http://handle.unsw.edu.au/1959.4/45536 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8831/SOURCE02?view=true.

MLA Handbook (7th Edition):

Ahmed, Shabbir. “Message forwarding in people-centric delay tolerant networks.” 2010. Web. 18 Oct 2019.

Vancouver:

Ahmed S. Message forwarding in people-centric delay tolerant networks. [Internet] [Doctoral dissertation]. University of New South Wales; 2010. [cited 2019 Oct 18]. Available from: http://handle.unsw.edu.au/1959.4/45536 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8831/SOURCE02?view=true.

Council of Science Editors:

Ahmed S. Message forwarding in people-centric delay tolerant networks. [Doctoral Dissertation]. University of New South Wales; 2010. Available from: http://handle.unsw.edu.au/1959.4/45536 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8831/SOURCE02?view=true


Duke University

20. Robinson, Joshua Westly. Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation .

Degree: 2010, Duke University

  Many biological processes are effectively modeled as networks, but a frequent assumption is that these networks do not change during data collection. However, that… (more)

Subjects/Keywords: Computer Science; Neurosciences; Bayesian network; Genetic regulatory network; MCMC; Neural flow network; Sampling; Time-series

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

APA (6th Edition):

Robinson, J. W. (2010). Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/3109

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):

Robinson, Joshua Westly. “Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation .” 2010. Thesis, Duke University. Accessed October 18, 2019. http://hdl.handle.net/10161/3109.

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

MLA Handbook (7th Edition):

Robinson, Joshua Westly. “Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation .” 2010. Web. 18 Oct 2019.

Vancouver:

Robinson JW. Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation . [Internet] [Thesis]. Duke University; 2010. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10161/3109.

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

Council of Science Editors:

Robinson JW. Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation . [Thesis]. Duke University; 2010. Available from: http://hdl.handle.net/10161/3109

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


Iowa State University

21. Guo, Jiqiang. Bayesian methods for system reliability and community detection.

Degree: 2011, Iowa State University

Bayesian methods are valuable for their natural incorporation of prior information and their practical convenience for modeling and estimation. This dissertation develops flexible Bayesian parametric… (more)

Subjects/Keywords: Bayesian; Bayesian nonparametric; Community detection; Complex system; Network; System reliability; Statistics and Probability

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

APA (6th Edition):

Guo, J. (2011). Bayesian methods for system reliability and community detection. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/12240

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):

Guo, Jiqiang. “Bayesian methods for system reliability and community detection.” 2011. Thesis, Iowa State University. Accessed October 18, 2019. https://lib.dr.iastate.edu/etd/12240.

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

MLA Handbook (7th Edition):

Guo, Jiqiang. “Bayesian methods for system reliability and community detection.” 2011. Web. 18 Oct 2019.

Vancouver:

Guo J. Bayesian methods for system reliability and community detection. [Internet] [Thesis]. Iowa State University; 2011. [cited 2019 Oct 18]. Available from: https://lib.dr.iastate.edu/etd/12240.

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

Council of Science Editors:

Guo J. Bayesian methods for system reliability and community detection. [Thesis]. Iowa State University; 2011. Available from: https://lib.dr.iastate.edu/etd/12240

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


University of Minnesota

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

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 October 18, 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. 18 Oct 2019.

Vancouver:

Bandyopadhyay S. Cardiovascular risk prediction from Electronic Health Records using probabilistic graphical models. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Oct 18]. 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

23. Awan, Nasir Majeed. Predicting software test effort in iterative development using a dynamic Bayesian network.

Degree: 2010, , School of Computing

  It is important to manage iterative projects in a way to maximize quality and minimize cost. To achieve high quality, accurate project estimates are… (more)

Subjects/Keywords: Software test effort estimation; Bayesian network; dynamic Bayesian network; Iterative development; test effort estimation in iterative development.; Software Engineering; Programvaruteknik

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

APA (6th Edition):

Awan, N. M. (2010). Predicting software test effort in iterative development using a dynamic Bayesian network. (Thesis). , School of Computing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6042

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):

Awan, Nasir Majeed. “Predicting software test effort in iterative development using a dynamic Bayesian network.” 2010. Thesis, , School of Computing. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6042.

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

MLA Handbook (7th Edition):

Awan, Nasir Majeed. “Predicting software test effort in iterative development using a dynamic Bayesian network.” 2010. Web. 18 Oct 2019.

Vancouver:

Awan NM. Predicting software test effort in iterative development using a dynamic Bayesian network. [Internet] [Thesis]. , School of Computing; 2010. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6042.

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

Council of Science Editors:

Awan NM. Predicting software test effort in iterative development using a dynamic Bayesian network. [Thesis]. , School of Computing; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6042

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


University of California – Berkeley

24. Tien, Iris. Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems.

Degree: Civil and Environmental Engineering, 2014, University of California – Berkeley

Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systemsby Iris TienDoctor of Philosophy in Civil and Environmental EngineeringUniversity of California, BerkeleyInfrastructure systems are… (more)

Subjects/Keywords: Civil engineering; Bayesian network; Dynamic Bayesian network; Infrastructure systems; Reliability analysis; Risk assessment; Structural health monitoring

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

APA (6th Edition):

Tien, I. (2014). Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/01s3t6pq

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):

Tien, Iris. “Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems.” 2014. Thesis, University of California – Berkeley. Accessed October 18, 2019. http://www.escholarship.org/uc/item/01s3t6pq.

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

MLA Handbook (7th Edition):

Tien, Iris. “Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems.” 2014. Web. 18 Oct 2019.

Vancouver:

Tien I. Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2019 Oct 18]. Available from: http://www.escholarship.org/uc/item/01s3t6pq.

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

Council of Science Editors:

Tien I. Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/01s3t6pq

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


University of Tasmania

25. Baksh, MA. Accident scenario analysis for maritime operations.

Degree: 2018, University of Tasmania

 Over the years, there has been a significant increase in both size and complexity of processes in marine and offshore operations. One example of maritime… (more)

Subjects/Keywords: Arctic transportation risk; Bayesian network; consequence assessment; forward collision avoidance; scenario-based modeling; object-oriented Bayesian network

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

APA (6th Edition):

Baksh, M. (2018). Accident scenario analysis for maritime operations. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/28680/1/Baksh_whole_thesis.pdf

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):

Baksh, MA. “Accident scenario analysis for maritime operations.” 2018. Thesis, University of Tasmania. Accessed October 18, 2019. https://eprints.utas.edu.au/28680/1/Baksh_whole_thesis.pdf.

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

MLA Handbook (7th Edition):

Baksh, MA. “Accident scenario analysis for maritime operations.” 2018. Web. 18 Oct 2019.

Vancouver:

Baksh M. Accident scenario analysis for maritime operations. [Internet] [Thesis]. University of Tasmania; 2018. [cited 2019 Oct 18]. Available from: https://eprints.utas.edu.au/28680/1/Baksh_whole_thesis.pdf.

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

Council of Science Editors:

Baksh M. Accident scenario analysis for maritime operations. [Thesis]. University of Tasmania; 2018. Available from: https://eprints.utas.edu.au/28680/1/Baksh_whole_thesis.pdf

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


University of Helsinki

26. Kuronen, Juri. Learning pairwise Markov Network structures with logistic regression.

Degree: Department of Social Research; Helsingfors universitet, Statsvetenskapliga fakulteten, Institutionen för socialvetenskaper, 2017, University of Helsinki

 This Master’s thesis introduces a new score-based method for learning the structure of a pairwise Markov network without imposing the assumption of chordality on the… (more)

Subjects/Keywords: Markov network; Markov network structure learning; logistic regression; pseudo-likelihood; Bayesian information criterion; Tilastotiede; Statistics; Statistik; Markov network; Markov network structure learning; logistic regression; pseudo-likelihood; Bayesian information criterion

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

APA (6th Edition):

Kuronen, J. (2017). Learning pairwise Markov Network structures with logistic regression. (Masters Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/229585

Chicago Manual of Style (16th Edition):

Kuronen, Juri. “Learning pairwise Markov Network structures with logistic regression.” 2017. Masters Thesis, University of Helsinki. Accessed October 18, 2019. http://hdl.handle.net/10138/229585.

MLA Handbook (7th Edition):

Kuronen, Juri. “Learning pairwise Markov Network structures with logistic regression.” 2017. Web. 18 Oct 2019.

Vancouver:

Kuronen J. Learning pairwise Markov Network structures with logistic regression. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10138/229585.

Council of Science Editors:

Kuronen J. Learning pairwise Markov Network structures with logistic regression. [Masters Thesis]. University of Helsinki; 2017. Available from: http://hdl.handle.net/10138/229585


University of Victoria

27. Lai, Dao Yu. Intelligent online risk-based authentication using Bayesian network model.

Degree: Dept. of Electrical and Computer Engineering, 2011, University of Victoria

 Risk-based authentication is an increasingly popular component in the security architecture deployed by many organizations in mitigating online identity threat. Risk-based authentication uses contextual and… (more)

Subjects/Keywords: Risk-based authentication; network security; mouse dynamics; keystroke dynamics; biometric technology; Bayesian network model

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APA (6th Edition):

Lai, D. Y. (2011). Intelligent online risk-based authentication using Bayesian network model. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/3290

Chicago Manual of Style (16th Edition):

Lai, Dao Yu. “Intelligent online risk-based authentication using Bayesian network model.” 2011. Masters Thesis, University of Victoria. Accessed October 18, 2019. http://hdl.handle.net/1828/3290.

MLA Handbook (7th Edition):

Lai, Dao Yu. “Intelligent online risk-based authentication using Bayesian network model.” 2011. Web. 18 Oct 2019.

Vancouver:

Lai DY. Intelligent online risk-based authentication using Bayesian network model. [Internet] [Masters thesis]. University of Victoria; 2011. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1828/3290.

Council of Science Editors:

Lai DY. Intelligent online risk-based authentication using Bayesian network model. [Masters Thesis]. University of Victoria; 2011. Available from: http://hdl.handle.net/1828/3290


Universidade Nova

28. Anvar, Meysam Maleki. Supply chain integration model: practices and customer values.

Degree: 2013, Universidade Nova

Dissertation to obtain PhD in Industrial Engineering

In order to increase partnership efficiency and truly meet the customers' demands, in today's business environment companies are… (more)

Subjects/Keywords: Supply chain management; Integration; Practices; Customer value; Bayesian network; Analytic network process

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APA (6th Edition):

Anvar, M. M. (2013). Supply chain integration model: practices and customer values. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10688

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):

Anvar, Meysam Maleki. “Supply chain integration model: practices and customer values.” 2013. Thesis, Universidade Nova. Accessed October 18, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10688.

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

MLA Handbook (7th Edition):

Anvar, Meysam Maleki. “Supply chain integration model: practices and customer values.” 2013. Web. 18 Oct 2019.

Vancouver:

Anvar MM. Supply chain integration model: practices and customer values. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2019 Oct 18]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10688.

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

Council of Science Editors:

Anvar MM. Supply chain integration model: practices and customer values. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10688

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


Rice University

29. Wen, Dingqiao Ellie. Co-estimating Reticulate Phylogenies and Gene Trees from Multi-locus Sequence Data.

Degree: PhD, Engineering, 2017, Rice University

 The multispecies network coalescent (MSNC) is a stochastic process that captures how gene trees grow within the branches of a phylogenetic network. Coupling the MSNC… (more)

Subjects/Keywords: phylogenetic network; Bayesian inference; RJMCMC; Multispecies network coalescent; reticulation; incomplete lineage sorting

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

APA (6th Edition):

Wen, D. E. (2017). Co-estimating Reticulate Phylogenies and Gene Trees from Multi-locus Sequence Data. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105468

Chicago Manual of Style (16th Edition):

Wen, Dingqiao Ellie. “Co-estimating Reticulate Phylogenies and Gene Trees from Multi-locus Sequence Data.” 2017. Doctoral Dissertation, Rice University. Accessed October 18, 2019. http://hdl.handle.net/1911/105468.

MLA Handbook (7th Edition):

Wen, Dingqiao Ellie. “Co-estimating Reticulate Phylogenies and Gene Trees from Multi-locus Sequence Data.” 2017. Web. 18 Oct 2019.

Vancouver:

Wen DE. Co-estimating Reticulate Phylogenies and Gene Trees from Multi-locus Sequence Data. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1911/105468.

Council of Science Editors:

Wen DE. Co-estimating Reticulate Phylogenies and Gene Trees from Multi-locus Sequence Data. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/105468


Loughborough University

30. Ayodeji, Akiwowo. Developing integrated data fusion algorithms for a portable cargo screening detection system.

Degree: PhD, 2012, Loughborough University

 Towards having a one size fits all solution to cocaine detection at borders; this thesis proposes a systematic cocaine detection methodology that can use raw… (more)

Subjects/Keywords: Data fusion; Bayesian; Dempster Shafer; Feature selection; Spectral; Neural network

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APA (6th Edition):

Ayodeji, A. (2012). Developing integrated data fusion algorithms for a portable cargo screening detection system. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/9901 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566514

Chicago Manual of Style (16th Edition):

Ayodeji, Akiwowo. “Developing integrated data fusion algorithms for a portable cargo screening detection system.” 2012. Doctoral Dissertation, Loughborough University. Accessed October 18, 2019. https://dspace.lboro.ac.uk/2134/9901 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566514.

MLA Handbook (7th Edition):

Ayodeji, Akiwowo. “Developing integrated data fusion algorithms for a portable cargo screening detection system.” 2012. Web. 18 Oct 2019.

Vancouver:

Ayodeji A. Developing integrated data fusion algorithms for a portable cargo screening detection system. [Internet] [Doctoral dissertation]. Loughborough University; 2012. [cited 2019 Oct 18]. Available from: https://dspace.lboro.ac.uk/2134/9901 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566514.

Council of Science Editors:

Ayodeji A. Developing integrated data fusion algorithms for a portable cargo screening detection system. [Doctoral Dissertation]. Loughborough University; 2012. Available from: https://dspace.lboro.ac.uk/2134/9901 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566514

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