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Computational Complexity of Machine Learning (ACM Distinguished Dissertation)
Computational Complexity of Machine Learning - ACM Distinguished Dissertation
Author: Michael J. Kearns
The Computational Complexity of Machine Learning is a mathematical study of the possibilities for efficient learning by computers. It works within recently introduced models for machine inference that are based on the theory of computational complexity and that place an explicit emphasis on efficient and general algorithms for learning. — ...  more »
ISBN-13: 9780262111522
ISBN-10: 0262111527
Publication Date: 10/22/1990
Pages: 192
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Publisher: The MIT Press
Book Type: Hardcover
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