===== 4 - Classification ======

February 23rd, 2010.

=== Slides ===

[[cos424>slides/4-class.pdf|PDF (520KB)]] [[cos424>slides/4-class.djvu|DJVU (424KB)]]

=== Scribe Notes ===

[[cos424>slides/4-notes-nguyen.pdf|Huy NGuyen]] 


=== 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.