10-601 SSL

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This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016




You should know:

  • What semi-supervised learning is - i.e., what the inputs and outputs are.
  • How K-means and mixture-models can be extended to perform SSL.
  • The difference between transductive and inductive semi-supervised learning.
  • What graph-based SSL is.
  • The definition/implementation of the harmonic function SSL method (variously called wvRN, HF, co-EM, ...)