PPT-A Framework to Present Bayesian Networks to Domain Experts

Barbaros Yet 1 Zane Perkins 2 Nigel Tai 3 William Marsh 2 1 Hacettepe University 2 Queen Mary University of London 3 The Royal London Hospital 01092014 1 Similarities between Clinical and Legal BN Models. Web Search Behavior. Ryen White, Susan Dumais, Jaime Teevan. Microsoft Research. {ryenw, sdumais, teevan}@microsoft.com. A c. ardiologist . and . a newly-diagnosed . patient get the same results for the query “heart disease”. Bayesian Network Motivation. We want a representation and reasoning system that is based on conditional . independence. Compact yet expressive representation. Efficient reasoning procedures. Bayesian Networks are such a representation. Read R&N Ch. 14.1-14.2. Next lecture: Read R&N 18.1-18.4. You will be expected to know. Basic concepts and vocabulary of Bayesian networks.. Nodes represent random variables.. Directed arcs represent (informally) direct influences.. Author: David Heckerman. . Presented By:. Yan Zhang - 2006. Jeremy Gould – 2013. 1. Outline. Bayesian Approach. Bayesian vs. classical probability methods. Examples. Bayesian Network. Structure. Author: David Heckerman. . Presented By:. Yan Zhang - 2006. Jeremy Gould – 2013. Chip Galusha -2014. 1. Outline. Bayesian Approach. Bayesian vs. classical probability methods. Bayes. . Theorm. Author: David Heckerman. . Presented By:. Yan Zhang - 2006. Jeremy Gould – 2013. 1. Outline. Bayesian Approach. Bayesian vs. classical probability methods. Examples. Bayesian Network. Structure. Author: David Heckerman. . Presented By:. Yan Zhang - 2006. Jeremy Gould – 2013. Chip Galusha -2014. 1. Outline. Bayesian Approach. Bayesian vs. classical probability methods. Bayes. . Theorm. or. How to combine data, evidence, opinion and guesstimates to make decisions. Information Technology. Professor Ann Nicholson. Faculty of Information Technology. Monash University . (Melbourne, Australia). Web Search Behavior. Ryen White, Susan Dumais, Jaime Teevan. Microsoft Research. {ryenw, sdumais, teevan}@microsoft.com. A c. ardiologist . and . a newly-diagnosed . patient get the same results for the query “heart disease”. Units. IEOR 8100.003 Final Project. 9. th. May 2012. Daniel Guetta. Joint work with Carri Chan. This talk. Hospitals. Bayesian Networks. Data!. Modified EM Algorithm. First results. Instrumental variables. 3.30.17. Important Updates. Important Updates. Faculty are busily reviewing . Upper Division Portfolios . on . Chalk & Wire.. For those taking the . edTPA. or any CBT assessment… it is important to remember that . Cognitive Science. Current Problem:. . How do children learn and how do they get it right?. Connectionists and Associationists. Associationism:. . maintains that all knowledge is represented in terms of associations between ideas, that complex ideas are built up from combinations of more primitive ideas, which, in accordance with empiricist philosophy, are ultimately derived from the senses. . IEOR 8100.003 Final Project. 9. th. May 2012. Daniel Guetta. Joint work with Carri Chan. This talk. Hospitals. Bayesian Networks. Data!. Modified EM Algorithm. First results. Instrumental variables. Neil Bramley. Intro. 1. Limitations of Causal . Bayes. Nets as psychological models.. 2. Extension of the approach using the hierarchical Bayesian framework.. 3. Philosophical implications of this framework.