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

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

Paperback

Series: Studies in Computational Intelligence, Book 17

DatabasesGeneral ComputersGeneral Mathematics

ISBN10: 3642068561
ISBN13: 9783642068560
Publisher: Springer
Published: Nov 25 2010
Pages: 260
Weight: 0.87
Height: 0.58 Width: 6.14 Depth: 9.21
Language: English
Support Vector Machines in Classification and Regression - An Introduction.- Iterative Single Data Algorithm for Kernel Machines from Huge Data Sets: Theory and Performance.- Feature Reduction with Support Vector Machines and Application in DNA Microarray Analysis.- Semi-supervised Learning and Applications.- Unsupervised Learning by Principal and Independent Component Analysis.

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Huang, Te-Ming

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General Mathematics