10-601 Ensembles 2

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This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014




You should understand the basic intuitions behind the analysis of boosting:

  • As reducing an upper bound on error and hence fitting the training data.
  • As a coordinate descent optimization of the same upper bound.

You should also be aware that boosting is related to margin classifiers.