Sequence Learning: Paradigms, Algorithms, and Applications: 1828 (Lecture Notes in Computer Science, 1828) - Softcover
Synopsis
Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.
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Sequence Learning. Paradigms, Algorithms, and Applications.
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Berlin/ Heidelberg, Springer Berlin., 2001
ISBN 10: 3540415971
ISBN 13: 9783540415978
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Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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2001. 16 x 24 cm. XII, 396 S. XII, 396 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. (Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence). Sprache: Englisch. Seller Inventory # 261ZB
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Sequence Learning: Paradigms, Algorithms, and Applications (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
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Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding. Seller Inventory # UTD14a-1266
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Sequence Learning: Paradigms, Algorithms, and Applications (Lecture Notes in Computer Science, 1828)
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Sequence Learning : Paradigms, Algorithms, and Applications
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Sequence Learning : Paradigms, Algorithms, and Applications
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Sequence Learning : Paradigms, Algorithms, and Applications
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Sequence Learning
Published by
Springer Berlin Heidelberg Jan 2001, 2001
ISBN 10: 3540415971
ISBN 13: 9783540415978
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models. 408 pp. Englisch. Seller Inventory # 9783540415978
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Sequence Learning
Published by
Springer Berlin Heidelberg, 2001
ISBN 10: 3540415971
ISBN 13: 9783540415978
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Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many . Seller Inventory # 4889329
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Sequence Learning
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2001, 2001
ISBN 10: 3540415971
ISBN 13: 9783540415978
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch. Seller Inventory # 9783540415978
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Sequence Learning : Paradigms, Algorithms, and Applications
Published by
Springer Berlin Heidelberg, 2001
ISBN 10: 3540415971
ISBN 13: 9783540415978
New
Taschenbuch
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models. Seller Inventory # 9783540415978