An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

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	An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
	by Nello Cristianini and John Shawe-Taylor Sales Rank: 215226	$60.00 At Amazon on 11-14-2008.

*Features* Cover Type: Hard Cover with 189 pages Published by: Cambridge University Press Edition: 1st Edition March 28, 2000 Written in: English ISBN 10 Number: 0521780195 ISBN 13 Number: 978-0521780193 Book Dimensions: 9.8 x 6.8 x 0.6 inches Weighs: 1.2 pounds *Product Review* ' the most accessible introduction to the area I have yet seen'. D. J. Hand, Publication of the International Statistical Institute 'The book is an admirable presentation of this powerful new approach to pattern classification.' Alex M. Andrew, Robotica ' an great book, complete and readable without big requirements in mathematical functional analysis.' Zentralblatt fur Mathematik und ihre Grenzgebiete Mathematics Abstracts *Product Review* "This book is an great introduction to this area it is nicely organized, self-contained, and well written. The book is most suitable for the beginning graduate student in computer science." Richard A Chechile, Journal of Mathematical Psychology *Reader Reviews* This is a first book introducing support vector learning, a very hot area in machine learning, data mining, and statistics. Aside from Burges (1998)'s tutorial article and Vapnik (1995)'s book, this book by two authors actively working in this field is a welcome addition which is likely to become a standard reference and a textbook among students and researchers who want to learn this important subject. Besides tutoring systematically on the standard theory such as large margin hyperplane, nonlinear kernel classifiers, and support vector regression, this book also deals with growing new areas in this field such as random processes. More interestingly, this book discusses a lot of applications which I consider very imoportant and healthy for the advance of this field, such as medical diagnosis, image analysis, and bioinformatics. In all, I strongly recommend this book for students, and young researchers who want to learn. I'm sure a lot of people will find this book a wise investment, since it provides a handy and timely review of a rapidly growing field. Back To Top
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods ~~List Price: $77.00~~ Available from Amazon Price: $60.00 Updated on 11-14-2008.

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