Learning with kernels : support vector machines, regularization, optimization, and beyond /

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....

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Bibliographic Details
Main Author: Schölkopf, Bernhard.
Other Authors: Smola, Alexander J.
Format: eBook
Published: Cambridge, Mass. : MIT Press, ©2002.
Series:Adaptive computation and machine learning.
Online Access:Available via EBSCO eBook Collection
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