[PDF.15fc] Support Vector Machines (Information Science and Statistics)

Support Vector Machines (Information Science and Statistics)

[PDF.ei50] Support Vector Machines (Information Science and Statistics)

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 | #1108315 in Books |  2008-08-12 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.30 x1.30 x6.40l,2.15 | File type: PDF | 601 pages

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||3 of 3 people found the following review helpful.| Mathematically Rigorous SVM Book|By Caterpillar|Steinwart's book is a mathematically rigorous introduction to the theoretical aspects of SVMs. The math involved is heavy (measure theoretic probability theory, functional analysis, topology, etc) and I would not recommend it as a practical guide to SVMs. People doing research in kernel methods will find it to be a fantastic refer| ||From the reviews:|“This book has many remarkable qualities which make it commendable to a large mathematical audience. …It is probably the first book on this topic…which is genuinely aimed at a mathematician reader. No technical issue is a

Every mathematical discipline goes through three periods of development: the naive, the formal, and the critical. David Hilbert The goal of this book is to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety of applications. We try to achieve this by presenting the basic ideas of SVMs together with the latest developments and current research questions in a uni?ed style. In a nutshell, we identify at lea...

You can specify the type of files you want, for your device.Support Vector Machines (Information Science and Statistics)   |  Ingo Steinwart, Andreas Christmann. A good, fresh read, highly recommended.

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