Kernel Based Algorithms for Mining Huge Data Sets Supervised, Semi-Supervised, and Unsupervised Learning

Name: Kernel Based Algorithms for Mining Huge Data Sets Supervised, Semi-Supervised, and Unsupervised Learning
Price: 109.99 USD
Availability: InStock
ISBN: 9783642068560

ISBN-10: 3642068561

ISBN-13: 9783642068560

Edition: 2006

Authors: Te-Ming Huang, Vojislav Kecman, Ivica Kopriva

List price: $89.99

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Description:

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.

Book details

List price: $89.99
Copyright year: 2006
Publisher: Springer Berlin / Heidelberg
Publication date: 11/25/2010
Binding: Paperback
Pages: 260
Size: 6.10" wide x 9.25" long
Weight: 1.584
Language: English

Vojislav Kecman is Associate Professor in the School of Engineering at Virginia Commonwealth University.