Introduction to Machine Learning (PhD level) Parzen Windows - kernels, algorithm Model selection - crossvalidation, leave one out, bias variance Watson-Nadaraya estimator - classification, regression, novelty detection Nearest Neighbor estimator - Limit case of Parzen Windows
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