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The Computational Complexity of Machine Learning

The Computational Complexity of Machine Learning

Michael J. Kearns
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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."
Year:
1990
Publisher:
MIT Press
Language:
english
Pages:
194
ISBN 10:
0262111527
ISBN 13:
9780262111522
File:
MOBI , 418 KB
IPFS:
CID , CID Blake2b
english, 1990
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