Design and Analysis of Learning Classifier Systems, Jan Drugowitsch
Автор: Pier L. Lanzi; Wolfgang Stolzmann; Stewart W. Wils Название: Advances in Learning Classifier Systems ISBN: 3540424377 ISBN-13(EAN): 9783540424376 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These are the refereed post-proceedings of the Third International Workshop on Learning Classifier Systems, IWLCS 2000. The papers are organized in topical sections on theory, applications, and advanced architectures.
Описание: An important resource, this book offers an introduction and overview of real-time systems: systems where timeliness is a crucial part of the correctness of the system.
Автор: Ryan J. Urbanowicz; Will N. Browne Название: Introduction to Learning Classifier Systems ISBN: 3662550067 ISBN-13(EAN): 9783662550069 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an accessible introduction to Learning Classifier Systems (LCS) for undergraduate and postgraduate students, data analysts, and machine learning practitioners.
Автор: Pier Luca Lanzi; Wolfgang Stolzmann; Stewart W. Wi Название: Learning Classifier Systems ISBN: 3540205446 ISBN-13(EAN): 9783540205449 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 5th International Workshop on Learning Classifier Systems, IWLCS 2003, held in Granada, Spain in September 2003 in conjunction with PPSN VII.
Автор: Pier L. Lanzi; Wolfgang Stolzmann; Stewart W. Wils Название: Advances in Learning Classifier Systems ISBN: 3540437932 ISBN-13(EAN): 9783540437932 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These are the refereed post-proceedings of the 4th International Workshop on Learning Classifier Systems, IWLCS 2001. The first part is devoted to theoretical issues, and the second to applications in various fields such as data mining, stock trading, and power distribution networks.
Автор: Larry Bull; Ester Bernad?-Mansilla; John Holmes Название: Learning Classifier Systems in Data Mining ISBN: 3642097758 ISBN-13(EAN): 9783642097751 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Martin V. Butz Название: Anticipatory Learning Classifier Systems ISBN: 1461352908 ISBN-13(EAN): 9781461352907 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to given situations. It can be used to simulate anticipatory adaptive behavior.
Anticipatory Learning Classifier Systems highlights how anticipations influence cognitive systems and illustrates the use of anticipations for (1) faster reactivity, (2) adaptive behavior beyond reinforcement learning, (3) attentional mechanisms, (4) simulation of other agents and (5) the implementation of a motivational module. The book focuses on a particular evolutionary model learning mechanism, a combination of a directed specializing mechanism and a genetic generalizing mechanism. Experiments show that anticipatory adaptive behavior can be simulated by exploiting the evolving anticipatory model for even faster model learning, planning applications, and adaptive behavior beyond reinforcement learning.
Anticipatory Learning Classifier Systems gives a detailed algorithmic description as well as a program documentation of a C++ implementation of the system. It is an excellent reference for researchers interested in adaptive behavior and machine learning from a cognitive science perspective as well as those who are interested in combining evolutionary learning mechanisms for learning and optimization tasks.
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: Pier L. Lanzi; Wolfgang Stolzmann; Stewart W. Wils Название: Learning Classifier Systems ISBN: 3540677291 ISBN-13(EAN): 9783540677291 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides a survey of the current state-of-the-art of LCS and highlights some of the most promising research directions. The first part presents various views on what learning classifier systems are. The second part is devoted to advanced topics of current interest.
Автор: Larry Bull Название: Applications of Learning Classifier Systems ISBN: 3642535593 ISBN-13(EAN): 9783642535598 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Larry Bull; Tim Kovacs Название: Foundations of Learning Classifier Systems ISBN: 3642064132 ISBN-13(EAN): 9783642064135 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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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