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Automatic Design Decision Tree Induction by Barros Rodrigo (14 results)
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Condition: As New. Unread book in perfect condition.
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Automatic Design of Decision-tree Induction Algorithms
Book 171 of 322: SpringerBriefs in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 73.80
US$ 19.86 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Automatic Design of Decision-tree Induction Algorithms
Book 171 of 322: SpringerBriefs in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 83.61
US$ 19.86 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 2015 edition. 188 pages. 9.00x6.00x0.50 inches. In Stock.
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Automatic Design of Decision-Tree Induction Algorithms
Book 171 of 322: SpringerBriefs in Computer SciencePublished by Springer International Publishing, 2015
ISBN 10: 3319142305 ISBN 13: 9783319142302
Language: English
Condition: New.
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Automatic Design of Decision-Tree Induction Algorithms
Book 171 of 322: SpringerBriefs in Computer SciencePublished by Springer International Publishing, Springer International Publishing Mär 2015, 2015
ISBN 10: 3319142305 ISBN 13: 9783319142302
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless of the data, the authors argue on the benefits that a bias-fitting strategy could bring to decision-tree induction, in which the ultimate goal is the automatic generation of a decision-tree induction algorithm tailored to the application domain of interest. For such, they discuss how one can effectively discover the most suitable set of components of decision-tree induction algorithms to deal with a wide variety of applications through the paradigm of evolutionary computation, following the emergence of a novel field called hyper-heuristics.'Automatic Design of Decision-Tree Induction Algorithms' would be highly useful for machine learning and evolutionary computation students and researchers alike.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch.
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Automatic Design of Decision-Tree Induction Algorithms
Book 171 of 322: SpringerBriefs in Computer SciencePublished by Springer International Publishing, Springer International Publishing, 2015
ISBN 10: 3319142305 ISBN 13: 9783319142302
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless of the data, the authors argue on the benefits that a bias-fitting strategy could bring to decision-tree induction, in which the ultimate goal is the automatic generation of a decision-tree induction algorithm tailored to the application domain of interest. For such, they discuss how one can effectively discover the most suitable set of components of decision-tree induction algorithms to deal with a wide variety of applications through the paradigm of evolutionary computation, following the emergence of a novel field called hyper-heuristics.'Automatic Design of Decision-Tree Induction Algorithms' would be highly useful for machine learning and evolutionary computation students and researchers alike.
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Automatic Design of Decision-Tree Induction Algorithms
Book 171 of 322: SpringerBriefs in Computer SciencePublished by Springer International Publishing Mrz 2015, 2015
ISBN 10: 3319142305 ISBN 13: 9783319142302
Language: English
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 -Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless of the data, the authors argue on the benefits that a bias-fitting strategy could bring to decision-tree induction, in which the ultimate goal is the automatic generation of a decision-tree induction algorithm tailored to the application domain of interest. For such, they discuss how one can effectively discover the most suitable set of components of decision-tree induction algorithms to deal with a wide variety of applications through the paradigm of evolutionary computation, following the emergence of a novel field called hyper-heuristics.'Automatic Design of Decision-Tree Induction Algorithms' would be highly useful for machine learning and evolutionary computation students and researchers alike. 188 pp. Englisch.
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Condition: New. Print on Demand 190.
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Condition: New. PRINT ON DEMAND 190.
