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The Nature of Statistical Learning Theory

4.05  ·  Rating details ·  21 ratings  ·  3 reviews
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental ...more
Hardcover, 314 pages
Published November 19th 1999 by Springer (first published December 14th 1998)
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Robert
Dec 26, 2019 rated it really liked it
Not light reading :D

I was just looking through this yesterday and thinking how Vapnik's ideas about generalization might still be relevant in thinking about how to develop "Strong AI".
Michiel
Apr 20, 2013 rated it liked it
Shelves: computer-science, ai, math
Well, it's a book about the mathematical foundation of statistical learning, so it is not an easy read. Gives an interesting overview in the theory behind support vector machines and how they can be applied for classification, regression and density estimation. I liked the philosophical intermezzos.
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