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 ...
Read More
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.
Read Less
Add this copy of Ensemble Methods: Foundations and Algorithms to cart. $17.09, good condition, Sold by BGV Books LLC rated 4.0 out of 5 stars, ships from Murray, KY, UNITED STATES, published 2012 by CRC Press.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Good. Exact ISBN match. Immediate shipping. No funny business. Pics available upon request. Sewn binding. Cloth over boards. 236 p. Contains: Unspecified, Illustrations, black & white, Tables, black & white. Chapman & Hall/CRC Machine Learning & Pattern Recognition.
Add this copy of Ensemble Methods (Chapman & Hall/Crc Machine Learning & to cart. $18.36, like new condition, Sold by Zubal Books rated 4.0 out of 5 stars, ships from Cleveland, OH, UNITED STATES, published 2012 by Chapman and Hall/CRC.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
236 pp., hardcover, previous owner's name neatly inked to the title page, else fine. -If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Add this copy of Ensemble Methods to cart. $176.64, new condition, Sold by Media Smart rated 4.0 out of 5 stars, ships from Hawthorne, CA, UNITED STATES, published 2012 by Taylor & Francis Group.
