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....

Full description

Bibliographic Details

Main Author:	Schölkopf, Bernhard
Other Authors:	Smola, Alexander J.
Format:	eBook
Language:	English
Published:	Cambridge, Mass. : MIT Press, ©2002.
Series:	Adaptive computation and machine learning
Subjects:	Machine learning. Algorithms. Kernel functions. COMPUTER SCIENCE/Machine Learning & Neural Networks Electronic books.
Online Access:	Connect to the full text of this electronic book