Multiple Classifier Systems, Nikunj C. Oza; Robi Polikar; Josef Kittler; Fabio
Автор: J?n Atli Benediktsson; Josef Kittler; Fabio Roli Название: Multiple Classifier Systems ISBN: 3642023258 ISBN-13(EAN): 9783642023255 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 8th International Workshop on Multiple Classifier Systems, MCS 2009, held in Reykjavik, Iceland, in June 2009. This work contains papers that are organized in topical sections on ECOC boosting and bagging, MCS in remote sensing, unbalanced data and decision templates, concept drift and SVM ensembles.
Автор: Jaume Bacardit; Ester Bernad?-Mansilla; Martin V. Название: Learning Classifier Systems ISBN: 3540881379 ISBN-13(EAN): 9783540881377 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - hosted by the Genetic and Evolutionary Computation Conference, GECCO. This book features sections on knowledge representation, and analysis of the system.
Автор: Ludmila I. Kuncheva Название: Combining Pattern Classifiers: Methods and Algorithms ISBN: 1118315235 ISBN-13(EAN): 9781118315231 Издательство: Wiley Рейтинг: Цена: 15674.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers.
Автор: Neamat El Gayar; Josef Kittler; Fabio Roli Название: Multiple Classifier Systems ISBN: 3642121268 ISBN-13(EAN): 9783642121265 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the proceedings of the 9th International Workshop on Multiple Classifier Systems, MCS 2010, held in Cairo, Egypt, in April 2010. This book includes contributions that are organized into sessions dealing with classifier combination and classifier selection, diversity, bagging and boosting, and combination of multiple kernels.
Автор: Tim Kovacs; Xavier Llor?; Keiki Takadama; Pier Luc Название: Learning Classifier Systems ISBN: 3540712305 ISBN-13(EAN): 9783540712305 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed joint post-proceedings of 3 consecutive International Workshops on Learning Classifier Systems that took place in Chicago, IL, USA in July 2003, in Seattle, WA, USA in June 2004, and in Washington, DC, USA in June 2005 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO.
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