Video Chapters for CSEP 546, Spring 2012, Lecture 5

ChapterVideo Archive
Windows MediaMP4Audio with Video of
Presentation Slides and Ink		WebViewer
Streamed		WebViewer Archive
Download		HTML5 Video (Beta)
Chapter 1: Bayesian MethodsStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 2: Bayes' Theorem and MAP HypothesesStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 3: Basic Probability FormulasStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 4: MAP LearningStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 5: Learning a Real-Valued FunctionStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 6: Bayes Optimal Classifier and Gibbs ClassifierStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 7: The Naive Bayes ClassifierStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 8: Text ClassificationStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 9: Bayesian NetworksStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 10: Inference in Bayesian NetworksStream, GetGetGet WMV, Get MP4 LaunchGetStart