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| View Larger Image | Kernel Methods for Pattern Analysis
by John Shawe-Taylor, Nello Cristianini
| | List Price: | $88.00 | | Price: | $70.40 | | You Save: | $17.60 (20%) |  | | Available: | Usually ships in 24 hours | | | | | Sales Rank: | 319814 | | Studio: | Cambridge University Press | | | Binding: | Hardcover | | Number Of Pages: | 476 | | Publication Date: | June 28, 2004 | | Publisher: | Cambridge University Press |
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EDITORIAL REVIEWS |
Product Description
This book provides professionals with a large selection of algorithms, kernels and solutions ready for implementation and suitable for standard pattern discovery problems in fields such as bioinformatics, text analysis and image analysis. It also serves as an introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so. |
CUSTOMER REVIEWS (Average Customer Rating: 3.5 based on 7 reviews)
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Quite Useful 
A very useful book and quite a nice read. I bought the book after reading a few chapters. Even now, an year after my grad school, I still read this. A good reference.
Nice print, no mistakes, MATLAB code. You get everything on Kernel Methods, from theory to implementation. A perfect book and helped me a lot in my research.
July 13, 2008 | |
Sloppy 
Sloppy language, sloppy definitions, sloppy proofs.
Constant repetitions do not add any clarity either.
November 29, 2006 | |
Nice introduction, but no more 
Well, at first I was petrified to find a book that sounded like it deeply explores the subject of kernel methods. But all in all, it did not quite achieve what I hoped for. As a practical approach, when it comes to implementation, it serves nicely as a reference. The deeper mathematical roots of kernels (especially when it comes to measure theory and functional analysis) are not dealt with at all or just scratched at the very surface. The notation is sometimes awkward, mentioning for example the representation of an object in a given vector space with respect to the basis. And: Too much copied and pasted from the former book about SVMs. Basically, reading papers of Carmeli, Aronszajn and others will give you a much deeper insight into the subject.
August 11, 2006 | |
coherent and accessible reference, ready-to-use algorithms
This work presents a coherent overview of an important field in machine learning. The unifying framework of kernel methods has proven state of the art results and the community has been waiting for a book like this to make both theory and practice of kernel methods accesssible for readers of all different backgrounds (researchers, students, practioners from both academia and industry, ...).
It is theoretically well-founded, the resulting algorithms are well-explained and made accessible for practioners by providing pseudo-code and online, ready-to-use matlab code.
This book nicely complements the previous, yellow book, written by the same authors. Indeed, after "getting into the field" by reading the accessible introduction to support vector machines (SVMs), it was clear to me that SVMs was only an example of a signifcantly larger framework, i.e., kernel methods. The blue book is the reference book about that larger framework I have been waiting for since then. I particularly like the way the book is set up, making clear the modular, flexible approach in kernel methods.
February 22, 2005 | |
A Useful Reference on Kernel Methods
The book is divided into 3 parts. The theory is all in part I,
the rest of the book is a cook-book with plenty of matlab code.
The website contains most of the same code + data online. Readable, complete.
February 21, 2005 | |
SIMILAR PRODUCTS |
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