Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning - Studies in Computational Intelligence - Huang, Te-ming (The University of Auckland) - Knjige - Springer-Verlag Berlin and Heidelberg Gm - 9783540316817 - 2. marca 2006
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Huang, Te-ming (The University of Auckland)
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning - Studies in Computational Intelligence 1997 edition

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Presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. This book demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.

260 pages, 19 black & white tables, biography

Medij Knjige     Hardcover Book   (Knjiga s trdim hrbtom in platnicami)
Izdano 2. marca 2006
ISBN13 9783540316817
Založniki Springer-Verlag Berlin and Heidelberg Gm
Strani 260
Dimenzije 156 × 234 × 17 mm   ·   576 g
Jezik Angleščina  

Več od istega **izdajatelja**

Ogled vseh Huang, Te-ming (The University of Auckland)