Video Chapters for CSEP 546, Spring 2012, Lecture 10

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Chapter 1: Handling Noisy Data in SVMsStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 2: Generalization Bounds for SVMsStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 3: Clustering and Dimensionality ReductionStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 4: K-Means ClusteringStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 5: Mixture ModelsStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 6: Mixtures of GaussiansStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 7: EM Algorithm for Mixtures of GaussiansStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 8: Mixture Models vs. K-Means vs. Bayesian NetworksStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 9: Hierarchical ClusteringStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 10: Principal Components AnalysisStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 11: Multidimensional ScalingStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 12: Nonlinear Dimensionality ReductionStream, GetGetGet WMV, Get MP4 LaunchGetStart