Rare Category Characterization

  • Jingrui He
Chapter
Part of the Cognitive Technologies book series (COGTECH)

Abstract

In Chapter 3,we have introduced various algorithms for rare category detection, which result in a set of labeled examples. Based on this labeled set, a natural follow-up step is rare category characterization, i.e., to characterize the minority classes in order to identify all the rare examples in the data set.

Keywords

Lagrange Multiplier Majority Class Unlabeled Data Optimization Framework Convex Optimization Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jingrui He
    • 1
  1. 1.Machine Learning Group IBM T.J. Watson Research CenterYorktown HeightsUSA

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