Isbn: 9783540677291 - learning classifier systems: from foundations to applications (lecture notes in computer science / lecture notes in artificial intelligence) (lecture notes in computer science, 1813, band 1813) (4 Ergebnisse)

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  • Sprache: Englisch

    Verlag: -, 2000

    3540677291 / 9783540677291

    • Softcover

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    Paperback. Zustand: Very Good. Learning Classifier Systems: From Foundations To Applications (Lecture Notes In Computer Science / Lecture Notes In Artificial Intelligence) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

  • Sprache: Englisch

    Verlag: - -, 2000

    3540677291 / 9783540677291

    • Softcover

    Anbieter: Bahamut Media, Reading, Vereinigtes KönigreichBahamut Media

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    Paperback. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. …

  • Sprache: Englisch

    Verlag: Springer, 2000

    3540677291 / 9783540677291

    • Softcover

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Springer, 2000

    3540677291 / 9783540677291

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Learning Classifier Systems (LCS) are amachine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique 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 of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and extensions to existing classifier system models. The final part is dedicated to promising applications in areas like data mining, medical data analysis, economic trading agents, aircraft maneuvering, and autonomous robotics. An appendix comprising 467 entries provides a comprehensive LCS bibliography.…