bookOct 29, 2007Closed access

Computational Methods of Feature Selection

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Abstract

PREFACE Introduction and Background Less Is More Huan Liu and Hiroshi Motoda Background and Basics Supervised, Unsupervised, and Semi-Supervised Feature Selection Key Contributions and Organization of the Book Looking Ahead Unsupervised Feature Selection Jennifer G. Dy Introduction Clustering Feature Selection Feature Selection for Unlabeled Data Local Approaches Summary Randomized Feature Selection David J. Stracuzzi Introduction Types of Randomizations Randomized Complexity Classes Applying Randomization to Feature Selection The Role of Heuristics Examples of Randomized Selection Algorithms Issues in Randomization Summary Causal Feature Selection Isabelle Guyon, Constantin Aliferis, and Andre Elisseeff…

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Topics & keywords

Keywords
  • Feature selection
  • Artificial intelligence
  • Computer science
  • Feature (linguistics)
  • Ranking (information retrieval)
  • Machine learning
  • Heuristics
  • Cluster analysis
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