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Advances in Kernel Methods: Support Vector Learning
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Author: Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola
List Price: $55.00
Our Price: Click to see the latest and low price
ISBN: 0262194163
Publisher: MIT Press (18 December, 1998)
Edition: Hardcover
Sales Rank: 160,463
Average Customer Rating: 4 out of 5
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Customer ReviewsRating: 4 out of 5
a summary of research on support vector machines
This is a collection of papers presented at a NIPS workshop held in 1997. So it provides a good entry point for access to forefronts of this rapidly developing field. Many leading researchers have contributed to this volume including V. vapnik who wrote a very succinct and readable survey. The introduction (Chapter 1) is also very useful. Though all chapters are written by leading experts in their areas and are enjoy to read. Personally I like particularly Part II on implementation in large data sets. G. Wahba provides some background on RKHS theory and a statistical perspective from GACV, for which she is mainly responsible for its popularity in statistics. I recommend this book for researchers and practitioners who may want more details and update recent developments.
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