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Cover for Kernel Based Algorithms for Mining Huge Data Sets

Kernel Based Algorithms for Mining Huge Data Sets

Supervised, Semi-Supervised, and Unsupervised Learning (Studies in Computational Intelligence #17)

Te-Ming Huang, Vojislav Kecman, Ivica Kopriva


List Price: 179.99*
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Other Editions of This Title:
Paperback (11/25/2010)


This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.

Springer, 9783540316817, 260pp.

Publication Date: March 2, 2006