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Aggiungi al carrelloCondizione: Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Da: Buchpark, Trebbin, Germania
Condizione: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 112,00
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Editore: Springer Berlin Heidelberg, 2019
ISBN 10: 3662568438 ISBN 13: 9783662568439
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods and approximation algorithms are fundamental tools that deal with computationally hard problems and problems in which the input is gradually disclosed over time. Both kinds of problems have a large number of applications arising from a variety of fields, such as algorithmic game theory, approximation classes, coloring and partitioning, competitive analysis, computational finance, cuts and connectivity, inapproximability results, mechanism design, network design, packing and covering, paradigms for design and analysis of approxi- tion and online algorithms, randomization techniques, real-world applications, scheduling problems and so on. The past years have witnessed a large number of interesting applications using various techniques of Computational Intelligence such as rough sets, connectionist learning; fuzzy logic; evolutionary computing; artificial immune systems; swarm intelligence; reinforcement learning, intelligent multimedia processing etc. . In spite of numerous successful applications of C- putational Intelligence in business and industry, it is sometimes difficult to explain the performance of these techniques and algorithms from a theoretical perspective. Therefore, we encouraged authors to present original ideas dealing with the inc- poration of different mechanisms of Computational Intelligent dealing with Lea- ing and Approximation algorithms and underlying processes. This edited volume comprises 15 chapters, including an overview chapter, which provides an up-to-date and state-of-the art research on the application of Computational Intelligence for learning and approximation.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 116,16
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Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10: 3642010814 ISBN 13: 9783642010811
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 111,53
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods and approximation algorithms are fundamental tools that deal with computationally hard problems and problems in which the input is gradually disclosed over time. Both kinds of problems have a large number of applications arising from a variety of fields, such as algorithmic game theory, approximation classes, coloring and partitioning, competitive analysis, computational finance, cuts and connectivity, inapproximability results, mechanism design, network design, packing and covering, paradigms for design and analysis of approxi- tion and online algorithms, randomization techniques, real-world applications, scheduling problems and so on. The past years have witnessed a large number of interesting applications using various techniques of Computational Intelligence such as rough sets, connectionist learning; fuzzy logic; evolutionary computing; artificial immune systems; swarm intelligence; reinforcement learning, intelligent multimedia processing etc. . In spite of numerous successful applications of C- putational Intelligence in business and industry, it is sometimes difficult to explain the performance of these techniques and algorithms from a theoretical perspective. Therefore, we encouraged authors to present original ideas dealing with the inc- poration of different mechanisms of Computational Intelligent dealing with Lea- ing and Approximation algorithms and underlying processes. This edited volume comprises 15 chapters, including an overview chapter, which provides an up-to-date and state-of-the art research on the application of Computational Intelligence for learning and approximation.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 116,15
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Da: California Books, Miami, FL, U.S.A.
EUR 126,38
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Da: Books Puddle, New York, NY, U.S.A.
EUR 144,35
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 144,14
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Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 364210164X ISBN 13: 9783642101649
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 139,09
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Learning methods and approximation algorithms are fundamental tools that deal with computationally hard problems and problems in which the input is gradually disclosed over time. Both kinds of problems have a large number of applications arising from a variety of fields, such as algorithmic game theory, approximation classes, coloring and partitioning, competitive analysis, computational finance, cuts and connectivity, geometric problems, inapproximability results, mechanism design, network design, packing and covering, paradigms for design and analysis of approximation and online algorithms, randomization techniques, real-world applications, scheduling problems and so on. The past years have witnessed a large number of interesting applications using various techniques of Computational Intelligence such as rough sets, connectionist learning; fuzzy logic; evolutionary computing; artificial immune systems; swarm intelligence; reinforcement learning, intelligent multimedia processing etc. In spite of numerous successful applications of Computational Intelligence in business and industry, it is sometimes difficult to explain the performance of these techniques and algorithms from a theoretical perspective. Therefore, we encouraged authors to present original ideas dealing with the incorporation of different mechanisms of Computational Intelligent dealing with Learning and Approximation algorithms and underlying processes. This edited volume comprises 15 chapters, including an overview chapter, which provides an up-to-date and state-of-the art research on the application of Computational Intelligence for learning and approximation.
Editore: Springer-Verlag New York Inc, 2010
ISBN 10: 3662568438 ISBN 13: 9783662568439
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 152,59
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Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 412 pages. 9.25x6.10x0.93 inches. In Stock.
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EUR 102,19
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Da: Best Price, Torrance, CA, U.S.A.
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 168,96
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 233,21
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 223,70
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EUR 258,17
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Da: Majestic Books, Hounslow, Regno Unito
EUR 149,61
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 154,13
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