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