Video Chapters for CSEP 546, Spring 2012, Lecture 10

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