Learning Classifier Systems, Pier L. Lanzi; Wolfgang Stolzmann; Stewart W. Wils

Автор: Larry Bull
Название: Applications of Learning Classifier Systems
ISBN: 3642535593 ISBN-13(EAN): 9783642535598
Издательство: Springer
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Описание: The field called Learning Classifier Systems is populated with romantics. The system embracing such a rule "popu- lation" would explore its available actions and responses, rewarding and rating the active rules accordingly.

Автор: Michal Wozniak
Название: Hybrid Classifiers
ISBN: 3642409962 ISBN-13(EAN): 9783642409967
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book details how hybridization can help improve the quality of computer classification systems. It introduces the different levels of hybridization and illuminates common problems faced when dealing with such projects.

Автор: Merryanna L. Swartz; Masoud Yazdani
Название: Intelligent Tutoring Systems for Foreign Language Learning
ISBN: 3642772048 ISBN-13(EAN): 9783642772047
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Proceedings of the NATO Advanced Research Workshop "The Bridge to International Communication: Intelligent Tutoring Systems for Foreign Language Learning", held in Washington, DC, September 19-21, 1990

Автор: Kla?nja-Mili?evi?
Название: E-Learning Systems
ISBN: 3319411616 ISBN-13(EAN): 9783319411613
Издательство: Springer
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Описание: This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge.A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph.Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language.The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.

Название: High Performance Programming for Soft Computing
ISBN: 146658601X ISBN-13(EAN): 9781466586017
Издательство: Taylor&Francis
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Описание: This book examines the present and future of soft computer techniques. It explains how to use the latest technological tools, such as multicore processors and graphics processing units, to implement highly efficient intelligent system methods using a general purpose computer.

Автор: Larry Bull; Tim Kovacs
Название: Foundations of Learning Classifier Systems
ISBN: 3642064132 ISBN-13(EAN): 9783642064135
Издательство: Springer
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Цена: 30606.00 р.
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Описание: This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning.

Автор: Ryan J. Urbanowicz; Will N. Browne
Название: Introduction to Learning Classifier Systems
ISBN: 3662550067 ISBN-13(EAN): 9783662550069
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This is an accessible introduction to Learning Classifier Systems (LCS) for undergraduate and postgraduate students, data analysts, and machine learning practitioners.

Автор: Kovacs, Tim
Название: Strength or accuracy: credit assignment in learning classifier systems
ISBN: 1447110587 ISBN-13(EAN): 9781447110583
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Classifier systems are an intriguing approach to a broad range of machine learning problems, based on automated generation and evaluation of condi tion/action rules.

Автор: Larry Bull; Ester Bernad?-Mansilla; John Holmes
Название: Learning Classifier Systems in Data Mining
ISBN: 3642097758 ISBN-13(EAN): 9783642097751
Издательство: Springer
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Цена: 19589.00 р.
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Описание: The ability of Learning Classifier Systems (LCS) to solve complex real-world problems is becoming clear. This book brings together work by a number of individuals who demonstrate the good performance of LCS in a variety of domains.

Автор: Jaume Bacardit; Ester Bernad?-Mansilla; Martin V.
Название: Learning Classifier Systems
ISBN: 3540881379 ISBN-13(EAN): 9783540881377
Издательство: Springer
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Цена: 9781.00 р.
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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: J?n Atli Benediktsson; Josef Kittler; Fabio Roli
Название: Multiple Classifier Systems
ISBN: 3642023258 ISBN-13(EAN): 9783642023255
Издательство: Springer
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Цена: 13974.00 р.
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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: Michal Wozniak
Название: Hybrid Classifiers
ISBN: 3662523043 ISBN-13(EAN): 9783662523049
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book details how hybridization can help improve the quality of computer classification systems. It introduces the different levels of hybridization and illuminates common problems faced when dealing with such projects.