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Combinatorial Machine Learning Rough by Moshkov Mikhail (10 results)
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Combinatorial Machine Learning : A Rough Set Approach
Published by Springer-Verlag GmbH, 2011
ISBN 10: 3642209947 ISBN 13: 9783642209949
Language: English
Condition: Sehr gut. Zustand: Sehr gut - Neubindung, Buchschnitt leicht verkürzt, Buchrücken leicht angestoßen, Ausg. 2011 | Seiten: 178 | Sprache: Englisch | Produktart: Bücher.
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Condition: New.
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Condition: New.
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Combinatorial Machine Learning: A Rough Set Approach (Studies in Computational Intelligence, 360)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 97.62
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Combinatorial Machine Learning: A Rough Set Approach
Published by Springer-Verlag New York Inc, 2011
ISBN 10: 3642209947 ISBN 13: 9783642209949
Language: English
£ 107.47
Convert currency£ 10 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 2011 edition. 181 pages. 9.25x6.25x0.75 inches. In Stock.
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Combinatorial Machine Learning: A Rough Set Approach (Studies in Computational Intelligence, 360)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 108.02
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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£ 127.19
Convert currency£ 10 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 2011 edition. 196 pages. 9.25x6.10x0.45 inches. In Stock.
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Combinatorial Machine Learning : A Rough Set Approach
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2011
ISBN 10: 3642209947 ISBN 13: 9783642209949
Language: English
£ 124.29
Convert currency£ 25.32 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware - Decision trees and decision rule systems are widely used in different applicationsas algorithms for problem solving, as predictors, and as a way forknowledge representation. Reducts play key role in the problem of attribute(feature) selection. The aims of this book are (i) the consideration of the setsof decision trees, rules and reducts; (ii) study of relationships among theseobjects; (iii) design of algorithms for construction of trees, rules and reducts;and (iv) obtaining bounds on their complexity. Applications for supervisedmachine learning, discrete optimization, analysis of acyclic programs, faultdiagnosis, and pattern recognition are considered also. This is a mixture ofresearch monograph and lecture notes. It contains many unpublished results.However, proofs are carefully selected to be understandable for students.The results considered in this book can be useful for researchers in machinelearning, data mining and knowledge discovery, especially for those who areworking in rough set theory, test theory and logical analysis of data. The bookcan be used in the creation of courses for graduate students.
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£ 137
Convert currency£ 25 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Like New. Like New. book.
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£ 140
Convert currency£ 25 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Like New. Like New. book.
