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- EditoreSpringer
- Data di pubblicazione2019
- ISBN 10 3030067165
- ISBN 13 9783030067168
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine172
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization (Studies in Computational Intelligence, 781)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condizione: New. Codice articolo ABLIING23Mar3113020004237
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Editore:
Springer International Publishing Feb 2019, 2019
ISBN 10: 3030067165
ISBN 13: 9783030067168
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783030067168
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization (Studies in Computational Intelligence, 781)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Condizione: New. In. Codice articolo ria9783030067168_new
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
ISBN 10: 3030067165
ISBN 13: 9783030067168
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783030067168
Quantità: 1 disponibili
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Editore:
Springer International Publishing, 2019
ISBN 10: 3030067165
ISBN 13: 9783030067168
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Brossura
Da: moluna, Greven, Germania
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Condizione: 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. Codice articolo 448670072
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