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Documents Navigating the parameter space of Bayesian Knowledge Tracing models Visualizations of the...

Slide 1 Navigating the parameter space of Bayesian Knowledge Tracing models Visualizations of the convergence of the Expectation Maximization algorithm Zachary A. Pardos,…

Documents Expectation Maximization Machine Learning. Last Time Expectation Maximization Gaussian Mixture...

Slide 1 Expectation Maximization Machine Learning Slide 2 Last Time Expectation Maximization Gaussian Mixture Models Slide 3 Today EM Proof – Jensen’s Inequality Clustering…

Documents Markov Logic Networks: Exploring their Application to Social Network Analysis Parag Singla Dept. of....

Slide 1 Markov Logic Networks: Exploring their Application to Social Network Analysis Parag Singla Dept. of Computer Science and Engineering Indian Institute of Technology,…

Documents Hidden Markov models and its application to bioinformatics.

Slide 1 Hidden Markov models and its application to bioinformatics Slide 2 Overview n Hidden Markov models (HMMs) –A problem in bioinformatics solved by HMMs Multiple alignments…

Documents © 1998, Nir Friedman, U.C. Berkeley, and Moises Goldszmidt, SRI International. All rights reserved....

Slide 1 © 1998, Nir Friedman, U.C. Berkeley, and Moises Goldszmidt, SRI International. All rights reserved. Learning I Excerpts from Tutorial at: http://robotics.stanford.edu/people/nir/tutorials/index.html…

Documents The Bayes Net Toolbox for Matlab and applications to computer vision Kevin Murphy MIT AI lab.

Slide 1 The Bayes Net Toolbox for Matlab and applications to computer vision Kevin Murphy MIT AI lab Slide 2 Outline of talk BNT Slide 3 Outline of talk BNT Using graphical…

Documents Overview Full Bayesian Learning MAP learning Maximun Likelihood Learning Learning Bayesian...

Slide 1 Overview  Full Bayesian Learning  MAP learning  Maximun Likelihood Learning  Learning Bayesian Networks Fully observable (complete data) With hidden (unobservable)…

Documents . Learning Bayesian networks Slides by Nir Friedman.

Slide 1 . Learning Bayesian networks Slides by Nir Friedman Slide 2 Learning Bayesian networks Inducer Data + Prior information E R B A C.9.1 e b e.7.3.99.01.8.2 be b b e…

Documents Supervised classification performance (prediction) assessment Dr. Huiru Zheng Dr. Franscisco Azuaje....

Slide 1 Supervised classification performance (prediction) assessment Dr. Huiru Zheng Dr. Franscisco Azuaje School of Computing and Mathematics Faculty of Engineering University…

Documents Hidden Process Models Rebecca Hutchinson Tom M. Mitchell Indrayana Rustandi October 4, 2006 Women in...

Slide 1 Hidden Process Models Rebecca Hutchinson Tom M. Mitchell Indrayana Rustandi October 4, 2006 Women in Machine Learning Workshop Carnegie Mellon University Computer…