Learning with Kernels: Support Vector Machines, Regularization, Optimization, an

Bernhard Schlkopf, Alexander J. Smola - Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

The MIT Press | 2001 | ISBN: 0262194759 | Pages: 644 | DJVU | 6.39 MB

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs—-kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics. Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years.

Thanks to original uploader!

“I recommend

DjVu Browser Plug-in

for

|

|

| ”

Do you know only a small part of all books is visible on the AvaxHome Homepage (@ Home)?

To see all of them usecategory.

If you enjoy my books look at my

...::No mirrors, please::...

Dear users,

There is a growing number of phishing/spoofing rapidshare-similar mirrors in comments. Using it you run the risk of your rapidshare account being STOLEN.

Check them carefully before using, a proper RapidShare mirror has the following format:

e

e.g.

A spoofing link is different e.g.

k

http://rapidshare-com-1141243-rar.h7v.ne

http://rapidshare-com-1411243-pdf-rar.tk

http://rapidshare-com-365289-rar.biz.ci

etc...

!!!NEVER EVER USE IT!!!

If you see such links, send a PM to staff immediately (nicks of the staff are ).

***Detailed information about Phishing can be found ***