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Decision Tree Ensemble Learning by Kozak Jan (30 results)
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization (Studies in Computational Intelligence, 781)
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization (Studies in Computational Intelligence, 781)
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
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Decision Tree And Ensemble Learning Bas
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Decision Tree And Ensemble Learning Base
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing, 2019
ISBN 10: 3030067165 ISBN 13: 9783030067168
Language: English
£ 85.93
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Add to basketTaschenbuch. Condition: Neu. Decision Tree and Ensemble Learning Based on Ant Colony Optimization | Jan Kozak | Taschenbuch | xi | Englisch | 2019 | Springer International Publishing | EAN 9783030067168 | 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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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing, Springer International Publishing Jul 2018, 2018
ISBN 10: 3319937510 ISBN 13: 9783319937519
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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£ 96.22
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Add to basketBuch. Condition: Neu. Neuware -This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be included in the book and determining its order of presentation.Decision trees are a popular method of classification as well as of knowledge representation. At the same time, they are easy to implement as the building blocks of an ensemble of classifiers. Admittedly, however, the task of constructing a near-optimal decision tree is a very complex process.The good results typically achieved by the ant colony optimization algorithms when dealing with combinatorial optimization problems suggest the possibility of also using that approach for effectively constructing decision trees. The underlying rationale is that both problem classes can be presented as graphs. This fact leads to option of considering a larger spectrum of solutions than those based on the heuristic. Moreover, ant colony optimization algorithms can be used to advantage when building ensembles of classifiers.This book is a combination of a research monograph and a textbook. It can be used in graduate courses, but is also of interest to researchers, both specialists in machine learning and those applying machine learning methods to cope with problems from any field of R&D.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing, Springer International Publishing Feb 2019, 2019
ISBN 10: 3030067165 ISBN 13: 9783030067168
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be included in the book and determining its order of presentation.Decision trees are a popular method of classification as well as of knowledge representation. At the same time, they are easy to implement as the building blocks of an ensemble of classifiers. Admittedly, however, the task of constructing a near-optimal decision tree is a very complex process.The good results typically achieved by the ant colony optimization algorithms when dealing with combinatorial optimization problems suggest the possibility of also using that approach for effectively constructing decision trees. The underlying rationale is that both problem classes can be presented as graphs. This fact leads to option of considering a larger spectrum of solutions than those based on the heuristic. Moreover, ant colony optimization algorithms can be used to advantage when building ensembles of classifiers.This book is a combination of a research monograph and a textbook. It can be used in graduate courses, but is also of interest to researchers, both specialists in machine learning and those applying machine learning methods to cope with problems from any field of R&D.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030067165 ISBN 13: 9783030067168
Language: English
£ 96.22
Convert currency£ 53.58 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be included in the book and determining its order of presentation.Decision trees are a popular method of classification as well as of knowledge representation. At the same time, they are easy to implement as the building blocks of an ensemble of classifiers. Admittedly, however, the task of constructing a near-optimal decision tree is a very complex process.The good results typically achieved by the ant colony optimization algorithms when dealing with combinatorial optimization problems suggest the possibility of also using that approach for effectively constructing decision trees. The underlying rationale is that both problem classes can be presented as graphs. This fact leads to option of considering a larger spectrum of solutions than those based on the heuristic. Moreover, ant colony optimization algorithms can be used to advantage when building ensembles of classifiers.This book is a combination of a research monograph and a textbook. It can be used in graduate courses, but is also of interest to researchers, both specialists in machine learning and those applying machine learning methods to cope with problems from any field of R&D.
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing, 2018
ISBN 10: 3319937510 ISBN 13: 9783319937519
Language: English
£ 96.22
Convert currency£ 54.27 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be included in the book and determining its order of presentation.Decision trees are a popular method of classification as well as of knowledge representation. At the same time, they are easy to implement as the building blocks of an ensemble of classifiers. Admittedly, however, the task of constructing a near-optimal decision tree is a very complex process.The good results typically achieved by the ant colony optimization algorithms when dealing with combinatorial optimization problems suggest the possibility of also using that approach for effectively constructing decision trees. The underlying rationale is that both problem classes can be presented as graphs. This fact leads to option of considering a larger spectrum of solutions than those based on the heuristic. Moreover, ant colony optimization algorithms can be used to advantage when building ensembles of classifiers.This book is a combination of a research monograph and a textbook. It can be used in graduate courses, but is also of interest to researchers, both specialists in machine learning and those applying machine learning methods to cope with problems from any field of R&D.
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Add to basketPaperback. Condition: New. New. book.
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing Feb 2019, 2019
ISBN 10: 3030067165 ISBN 13: 9783030067168
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 96.22
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be included in the book and determining its order of presentation.Decision trees are a popular method of classification as well as of knowledge representation. At the same time, they are easy to implement as the building blocks of an ensemble of classifiers. Admittedly, however, the task of constructing a near-optimal decision tree is a very complex process.The good results typically achieved by the ant colony optimization algorithms when dealing with combinatorial optimization problems suggest the possibility of also using that approach for effectively constructing decision trees. The underlying rationale is that both problem classes can be presented as graphs. This fact leads to option of considering a larger spectrum of solutions than those based on the heuristic. Moreover, ant colony optimization algorithms can be used to advantage when building ensembles of classifiers.This book is a combination of a research monograph and a textbook. It can be used in graduate courses, but is also of interest to researchers, both specialists in machine learning and those applying machine learning methods to cope with problems from any field of R&D. 172 pp. Englisch.
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing Jul 2018, 2018
ISBN 10: 3319937510 ISBN 13: 9783319937519
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 96.22
Convert currency£ 20.08 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be included in the book and determining its order of presentation.Decision trees are a popular method of classification as well as of knowledge representation. At the same time, they are easy to implement as the building blocks of an ensemble of classifiers. Admittedly, however, the task of constructing a near-optimal decision tree is a very complex process.The good results typically achieved by the ant colony optimization algorithms when dealing with combinatorial optimization problems suggest the possibility of also using that approach for effectively constructing decision trees. The underlying rationale is that both problem classes can be presented as graphs. This fact leads to option of considering a larger spectrum of solutions than those based on the heuristic. Moreover, ant colony optimization algorithms can be used to advantage when building ensembles of classifiers.This book is a combination of a research monograph and a textbook. It can be used in graduate courses, but is also of interest to researchers, both specialists in machine learning and those applying machine learning methods to cope with problems from any field of R&D. 172 pp. Englisch.
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing, 2019
ISBN 10: 3030067165 ISBN 13: 9783030067168
Language: English
£ 82.98
Convert currency£ 42.78 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on decision trees and ensemble learning based on ant colony optimizationCombines important topics in the area of machine learning and combinatorial optimization into oneProvides the combination of a research monograph and a textbook.
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing, 2018
ISBN 10: 3319937510 ISBN 13: 9783319937519
Language: English
£ 82.98
Convert currency£ 42.78 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on decision trees and ensemble learning based on ant colony optimizationCombines important topics in the area of machine learning and combinatorial optimization into oneProvides the combination of a research monograph and a textbook.
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Add to basketCondition: New. PRINT ON DEMAND pp. 159.
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Published by Springer International Publishing, 2018
ISBN 10: 3319937510 ISBN 13: 9783319937519
Language: English
£ 85.93
Convert currency£ 61.12 shipping from Germany to U.S.A.Quantity: 5 available
Add to basketBuch. Condition: Neu. Decision Tree and Ensemble Learning Based on Ant Colony Optimization | Jan Kozak | Buch | xi | Englisch | 2018 | Springer International Publishing | EAN 9783319937519 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
