Video Chapters for CSEP 546, Spring 2012, Lecture 4

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Chapter 1: The K-Nearest Neighbor AlgorithmStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 2: Theoretical Guarantees on k-NNStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 3: Distance-Weighted k-NNStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 4: The Curse of DimensionalityStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 5: Feature Selection and WeightingStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 6: Reducing the Computational Cost of k-NNStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 7: Avoiding Overfitting in k-NNStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 8: Locally Weighted RegressionStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 9: Radial Basis Function NetworksStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 10: Case-Based ReasoningStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 11: Lazy vs. Eager LearningStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 12: Collaborative FilteringStream, GetGetGet WMV, Get MP4 LaunchGetStart