Machine Learning 10-701 Lecture 3

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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
  1. Alex Smola
  2. Machine Learning
  3. 10-701
  4. CMU
  5. Instance based methods
  6. Parzen Windows
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