4 - Classification

February 23rd, 2010.

Slides

Scribe Notes

Summary

  • Bayes decision theory
  • Nearest neighbors
  • Parametric classifiers
  • Loss functions
  • Multiclass, multilabel

Readings

  • Hastie et al.: Prototypes and Nearest Neighbors, The Elements of Statistical Learning, chapter 13, pages 459-483.
  • Bishop: Linear Models for Classification, Pattern Recognition and Machine Learning, chapter 4 (minus sections 4.4, 4.5), pages 179-213.
 
04class.txt · Last modified: 2010/03/02 02:08 by lbottou
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