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9783540306764 - Multi-objective Machine Learning: 16 Studies in Computational Intelligence, 16 (8 results)
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Multi-Objective Machine Learning
Language: English
Published by Springer-Verlag GmbH, 2006
ISBN 10: 3540306765 ISBN 13: 9783540306764
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 660 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Multi-Objective Machine Learning (Studies in Computational Intelligence, 16)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 187.59
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. 676.
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Multi-Objective Machine Learning
Language: English
Published by Springer Berlin Heidelberg, 2006
ISBN 10: 3540306765 ISBN 13: 9783540306764
Condition: New. Selected collection of recent research on multi-objective approach to machine learningRecent developments in evolutionary multi-objective optimizationApplies the concept of Pareto-optimality to machine learning Recently.
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Condition: New. pp. 676 Illus.
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Condition: New. pp. 676.
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Multi-Objective Machine Learning
Language: English
Published by Springer, Berlin, Springer, 2006
ISBN 10: 3540306765 ISBN 13: 9783540306764
Buch. Condition: Neu. Neuware - Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the successful developments in evolutionary multi-objective optimization. It has been shown that the multi-objective approach to machine learning is particularly successful to improve the performance of the traditional single objective machine learning methods, to generate highly diverse multiple Pareto-optimal models for constructing ensembles models and, and to achieve a desired trade-off between accuracy and interpretability of neural networks or fuzzy systems. This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.
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Hardcover. Condition: Like New. Like New. book.
