Machine Learning 10-701 Lecture 3

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