9783319377230 - meta-learning in decision tree induction: 498 di grąbczewski, krzysztof (16 risultati)
Lingua: Inglese
Editore: Springer, 2016
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Taschenbuch. Condizione: Neu. Meta-Learning in Decision Tree Induction | Krzysztof Gr¿bczewski | Taschenbuch | xvi | Englisch | 2016 | Springer | EAN 9783319377230 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing, 2016
Serie: Libro 52 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of decision tree in…duction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as different ensemble methods that involve decision trees. It is shown that the knowledge of different components used within decision tree learning needs to be systematized to enable the system to generate and evaluate different variants of machine learning algorithms with the aim of identifying the top-most performers or potentially the best one. A unified view of decision tree learning enables to emulate different decision tree algorithms simply by setting certain parameters. As meta-learning requires running many different processes with the aim of obtaining performance results, a detailed description of the experimental methodology and evaluation framework is provided. Meta-learning is discussed in great detail in the second half of the book. The exposition starts by presenting a comprehensive review of many meta-learning approaches explored in the past described in literature, including for instance approaches that provide a ranking of algorithms. The approach described can be related to other work that exploits planning whose aim is to construct data mining workflows. The book stimulates interchange of ideas between different, albeit related, approaches.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2016
Serie: Libro 52 di 538 - Studies in Computational Intelligence
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Paperback. Condizione: Brand New. reprint edition. 360 pages. 9.25x6.10x0.82 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 52 di 538 - Studies in Computational Intelligence
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Aug 2016, 2016
Serie: Libro 52 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of…decision tree induction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as different ensemble methods that involve decision trees. It is shown that the knowledge of different components used within decision tree learning needs to be systematized to enable the system to generate and evaluate different variants of machine learning algorithms with the aim of identifying the top-most performers or potentially the best one. A unified view of decision tree learning enables to emulate different decision tree algorithms simply by setting certain parameters. As meta-learning requires running many different processes with the aim of obtaining performance results, a detailed description of the experimental methodology and evaluation framework is provided. Meta-learning is discussed in great detail in the second half of the book. The exposition starts by presenting a comprehensive review of many meta-learning approaches explored in the past described in literature, including for instance approaches that provide a ranking of algorithms. The approach described can be related to other work that exploits planning whose aim is to construct data mining workflows. The book stimulates interchange of ideas between different, albeit related, approaches. 360 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2016
Serie: Libro 52 di 538 - Studies in Computational Intelligence
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a general meta-learning approach which is applicable to a variety of machine learning algorithms Focuses on different variants of decision tree induction Details the long and complex road from various small…and larger algorithms to.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 52 di 538 - Studies in Computational Intelligence
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Condizione: New. Print on Demand pp. 343.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Aug 2016, 2016
Serie: Libro 52 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of deci…sion tree induction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as different ensemble methods that involve decision trees. It is shown that the knowledge of different components used within decision tree learning needs to be systematized to enable the system to generate and evaluate different variants of machine learning algorithms with the aim of identifying the top-most performers or potentially the best one. A unified view of decision tree learning enables to emulate different decision tree algorithms simply by setting certain parameters. As meta-learning requires running many different processes with the aim of obtaining performance results, a detailed description of the experimental methodology and evaluation framework is provided. Meta-learning is discussed in great detail in the second half of the book. The exposition starts by presenting a comprehensive review of many meta-learning approaches explored in the past described in literature, including for instance approaches that provide a ranking of algorithms. The approach described can be related to other work that exploits planning whose aim is to construct data mining workflows. The book stimulates interchange of ideas between different, albeit related, approaches.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 360 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 52 di 538 - Studies in Computational Intelligence
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Condizione: New. PRINT ON DEMAND pp. 343.
