Ensemble Methods is popular PDF and ePub book, written by Zhi-Hua Zhou in 2012-06-06, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Ensemble Methods can be Read Online from any device for your convenience.
Ensemble Methods Book PDF Summary
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.
Detail Book of Ensemble Methods PDF
- Author : Zhi-Hua Zhou
- Release : 06 June 2012
- Publisher : CRC Press
- ISBN : 9781439830031
- Genre : Business & Economics
- Total Page : 238 pages
- Language : English
- PDF File Size : 9,6 Mb
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