The Computational Complexity of Machine Learning

Released on by Michael J. Kearns
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  • The Computational Complexity of Machine Learning Book Detail

  • Author : Michael J. Kearns
  • Release Date : 1990
  • Publisher : MIT Press
  • Genre : Computers
  • Pages : 194
  • ISBN 13 : 9780262111522
  • File Size : 18,18 MB
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The Computational Complexity of Machine Learning by Michael J. Kearns PDF Summary

Book Description: We also give algorithms for learning powerful concept classes under the uniform distribution, and give equivalences between natural models of efficient learnability. This thesis also includes detailed definitions and motivation for the distribution-free model, a chapter discussing past research in this model and related models, and a short list of important open problems."

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New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.

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Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei