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Case Based Approximate Reasoning by Hüllermeier Eyke (21 results)
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Case-Based Approximate Reasoning (Theory and Decision Library B, 44)
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Case-Based Approximate Reasoning (Theory and Decision Library B, 44)
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Case-Based Approximate Reasoning
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Case-Based Approximate Reasoning
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Taschenbuch. Condition: Neu. Case-Based Approximate Reasoning | Eyke Hüllermeier | Taschenbuch | Theory and Decision Library B | xvi | Englisch | 2013 | Springer | EAN 9789048174317 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New. pp. 390.
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Case-Based Approximate Reasoning
Language: English
Published by Springer Netherlands, Springer, 2013
ISBN 10: 9048174317 ISBN 13: 9789048174317
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More precisely, CBR proceeds from individual experiences in the form of cases. The generalization beyond these experiences typically relies on a kind of regularity assumption demanding that 'similar problems have similar solutions'.Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR. This way, the book contributes to a solid foundation of CBR which is grounded on formal concepts and techniques from the aforementioned fields. Besides, it establishes interesting relationships between CBR and approximate reasoning, which not only cast new light on existing methods but also enhance the development of novel approaches and hybrid systems.This books is suitable for researchers and practioners in the fields of artifical intelligence, knowledge engineering and knowledge-based systems.
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Paperback. Condition: Brand New. 2007 edition. 388 pages. 9.25x6.10x0.88 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Case-Based Approximate Reasoning
Language: English
Published by Springer Netherlands, Springer Netherlands Jan 2013, 2013
ISBN 10: 9048174317 ISBN 13: 9789048174317
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More precisely, CBR proceeds from individual experiences in the form of cases. The generalization beyond these experiences typically relies on a kind of regularity assumption demanding that 'similar problems have similar solutions'.Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR. This way, the book contributes to a solid foundation of CBR which is grounded on formal concepts and techniques from the aforementioned fields. Besides, it establishes interesting relationships between CBR and approximate reasoning, which not only cast new light on existing methods but also enhance the development of novel approaches and hybrid systems.This books is suitable for researchers and practioners in the fields of artifical intelligence, knowledge engineering and knowledge-based systems. 388 pp. Englisch.
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Case-Based Approximate Reasoning
Language: English
Published by Springer Netherlands, 2013
ISBN 10: 9048174317 ISBN 13: 9789048174317
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Major contribution to the methodical foundations of case-based reasoningBuilds bridges between the fields of CBR and approximate reaoningFirst monograph of this typeMaking use of different frameworks of approximate reasoning .
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Case-Based Approximate Reasoning
Language: English
Published by Springer Netherlands, 2007
ISBN 10: 140205694X ISBN 13: 9781402056949
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Major contribution to the methodical foundations of case-based reasoningBuilds bridges between the fields of CBR and approximate reaoningFirst monograph of this typeMaking use of different frameworks of approximate reasoning .
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Case-Based Approximate Reasoning
Language: English
Published by Springer Netherlands, Springer Jan 2013, 2013
ISBN 10: 9048174317 ISBN 13: 9789048174317
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More precisely, CBR proceeds from individual experiences in the form of cases. The generalization beyond these experiences typically relies on a kind of regularity assumption demanding that 'similar problems have similar solutions'.Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR. This way, the book contributes to a solid foundation of CBR which is grounded on formal concepts and techniques from the aforementioned fields. Besides, it establishes interesting relationships between CBR and approximate reasoning, which not only cast new light on existing methods but also enhance the development of novel approaches and hybrid systems.This books is suitable for researchers and practioners in the fields of artifical intelligence, knowledge engineering and knowledge-based systems.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 388 pp. Englisch.
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Condition: New. Print on Demand pp. 390.
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Condition: New. PRINT ON DEMAND pp. 390.
