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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Zhi-Hua Zhou is a professor in the Department of Computer Science and Technology and the National Key Laboratory for Novel Software Technology at Nanjing University. Dr. Zhou is the founding steering committee co-chair of ACML and associate editor-in-chief, associate editor, and editorial board member of numerous journals. He has published extensively in top-tier journals, chaired many conferences, and won six international journal/conference/competition awards. His research interests encompass the areas of machine learning, data mining, pattern recognition, and multimedia information retrieval.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 21,04 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoEUR 17,79 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envíoLibrería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
Condición: Fine. 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. Nº de ref. del artículo: ZB1317015
Cantidad disponible: 1 disponibles
Librería: BGV Books LLC, Murray, KY, Estados Unidos de America
Condición: Good. Exact ISBN match. Immediate shipping. No funny business. Nº de ref. del artículo: 9781439830031
Cantidad disponible: 1 disponibles
Librería: Chiron Media, Wallingford, Reino Unido
Hardcover. Condición: New. Nº de ref. del artículo: 6666-TNFPD-9781439830031
Cantidad disponible: 5 disponibles
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
Hardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Nº de ref. del artículo: Scanned1439830037
Cantidad disponible: 1 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 236. Nº de ref. del artículo: 264659112
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 236 73 Illus. This item is printed on demand. Nº de ref. del artículo: 3188855
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 236. Nº de ref. del artículo: 184659106
Cantidad disponible: 4 disponibles