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Kernel Based Algorithms for Mining Huge Data Sets|Te-Ming Huang

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

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Overview

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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Details

  • ISBN-13: 9783642068560
  • ISBN-10: 3642068561
  • Publisher: Springer
  • Publish Date: November 2010
  • Dimensions: 9.21 x 6.14 x 0.58 inches
  • Shipping Weight: 0.87 pounds
  • Page Count: 260

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