LEARNING WITH KERNELS by Bernhard Scholkopf, Alexander J. Smola ( 9780262256933 )

Item Details

Title:

LEARNING WITH KERNELS
SUPPORT VECTOR MACHINES, REGULARIZATION, OPTIMIZATION, AND BEYOND

By:

Format:

Online resource

List price:	£115.14
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ISBN 10:

0262256932

ISBN 13:

9780262256933

Publisher:

MIT PRESS LTD

Pub. date:

11 September, 2017

Series:

Adaptive Computation and Machine Learning series

Pages:

648

Description:

A comprehensive introduction to Support Vector Machines and related kernel methods.

Synopsis:

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.

Reader Age:

From 18 years

Illustrations:

138 illus.

Publication:

Imprint:

MIT Press

Returns:

Non-returnable

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