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Statistical Learning Theory

4.11  ·  Rating Details ·  18 Ratings  ·  2 Reviews
A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessar ...more
Hardcover, 768 pages
Published September 30th 1998 by Wiley-Interscience (first published September 16th 1998)
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Tarek Amr
Jan 24, 2013 Tarek Amr rated it did not like it
Shelves: left-for-a-while
The author of this book is simply, 3ars! Well, for those who do not understand Arabic, 3ars is a curse word anyway. The point is, any bloddy bastard can group a bunch of mathematical equations and acronyms and call them a book, but a self-respecting author will exert some effort to glue them together with proper text that gives them meaning. This might be a very valuable book for statisticians, some might see it precise, but for me it is just crap!
Yan Zhu
Jan 25, 2014 Yan Zhu rated it it was amazing
This work will become a master piece. However, it didn't get the appreciation it deserves nowadays. Yes this book is full of mathematical equations. However, if u go through the book carefully, u will notice that the author put a lot of efforts on the presentation. Given the topics and the depth covered, the book is very well organized: Big picture is frequently highlighted; deep insights r often shared around with each discussion; the proofs r crystal clean.

To ppl who comments this book as cra
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