[PDF.60xg] An Introduction to Computational Learning Theory (MIT Press)
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An Introduction to Computational Learning Theory (MIT Press)
[PDF.mh12] An Introduction to Computational Learning Theory (MIT Press)
An Introduction to Computational Michael J. Kearns, Umesh Vazirani epub An Introduction to Computational Michael J. Kearns, Umesh Vazirani pdf download An Introduction to Computational Michael J. Kearns, Umesh Vazirani pdf file An Introduction to Computational Michael J. Kearns, Umesh Vazirani audiobook An Introduction to Computational Michael J. Kearns, Umesh Vazirani book review An Introduction to Computational Michael J. Kearns, Umesh Vazirani summary
| #711941 in Books | 1994-08-15 | Original language:English | PDF # 1 | 9.25 x.65 x7.10l,1.11 | File type: PDF | 221 pages||15 of 16 people found the following review helpful.| It turns out that complexity theorists have something valuable to say...|By Shiva Kaul|...about machine learning since learning algorithms are, in fact, algorithms. At a high level, computational learning theory answers the same sort of questions as statistical learning theory ("What kind of guarantees can I make about my learning procedure? In what situations is learning pos|About the Author|Michael J. Kearns is Professor of Computer and Information Science at the University of Pennsylvania.
Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning alg...
You can specify the type of files you want, for your device.An Introduction to Computational Learning Theory (MIT Press) | Michael J. Kearns, Umesh Vazirani. I was recommended this book by a dear friend of mine.