Ensemble Methods Book Download

Ensemble Methods PDF
By:Zhi-Hua Zhou
Published on 2012-06-06 by CRC Press

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An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.

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Book ID of Ensemble Methods's Books is BDB50Ev2ur4C, Book which was written byZhi-Hua Zhouhave ETAG "rcBOdMLxqsg"

Book which was published by CRC Press since 2012-06-06 have ISBNs, ISBN 13 Code is 9781439830031 and ISBN 10 Code is 1439830037

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Book which have "236 Pages" is Printed at BOOK under CategoryBusiness and Economics

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