Applications of Bayesian Networks

Jul 26, 2010 · New York, United States of America

Max Khesin is giving a follow up to his previous talk about graphical models. As usual you must go to the Eventbrite page and register there: Here is Max's brief description of the talk: I previously gave an intro talk on Graphical models (video here ), this is intended as a follow-up concentrating more on the applications of Bayesian Networks. Best single intro paper I found is Charniak’s here:

Here are the topics I intend to touch on in the follow-up- Knowledge engineering: noisy relationships and other structure modeling tricks- Applications: genetics, error correcting codes and some others.- Role of causality (if there is time) Recommended reading: The part I am specifically interested in is Part II: Model Construction, which starts on page 115 in this paper. This paper later got published as a book: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. Another book I highly recommend is Modeling and Reasoning with Bayesian Networks, chapter 5 is especially relevant.

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