Automatic Design of Decision-Tree Induction Algorithms
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| Preise | 2014 | 2019 | 2022 |
|---|---|---|---|
| Schnitt | € 28,61 | € 56,87 | € 58,92 |
| Nachfrage |
1
Automatic Design of Decision-Tree Induction Algorithms
DE NWISBN: 9783319142302 bzw. 3319142305, in Deutsch, neu.
Lieferung aus: Deutschland, 2-3 Werktage.
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. von Barros, Rodrigo C. und Carvalho, André C. P. L. F. de und Freitas, Alex, Neu.
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. von Barros, Rodrigo C. und Carvalho, André C. P. L. F. de und Freitas, Alex, Neu.
2
Automatic Design of Decision-Tree Induction Algorithms
DE NWISBN: 9783319142302 bzw. 3319142305, in Deutsch, Springer-Verlag/Sci-Tech/Trade, neu.
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
Rodrigo C. Barros, André C.p.l.f De Carvalho, Alex A. Freitas, Books, Computers, Automatic Design of Decision-Tree Induction Algorithms, 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 Algorithmswould be highly useful for machine learning and evolutionary computation students and researchers alike.
Rodrigo C. Barros, André C.p.l.f De Carvalho, Alex A. Freitas, Books, Computers, Automatic Design of Decision-Tree Induction Algorithms, 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 Algorithmswould be highly useful for machine learning and evolutionary computation students and researchers alike.
3
Automatic Design of Decision-Tree Induction Algorithms
DE PB NWISBN: 9783319142302 bzw. 3319142305, in Deutsch, Springer Shop, Taschenbuch, neu.
Lieferung aus: Schweiz, Lagernd, zzgl. Versandkosten.
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. Soft cover.
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. Soft cover.
4
Automatic Design of Decision-Tree Induction Algorithms
EN PB NWISBN: 9783319142302 bzw. 3319142305, in Englisch, Springer International Publishing, Springer International Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
5
Automatic Design of Decision-Tree Induction Algorithms
DE NW EBISBN: 9783319142302 bzw. 3319142305, in Deutsch, Springer International Publishing, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, E-Book zum download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
Automatic Design of Decision-Tree Induction Algorithms (2015)
~EN PB NWISBN: 3319142305 bzw. 9783319142302, vermutlich in Englisch, Springer-Verlag GmbH, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Gebr. - Automatic Design of Decision-Tree Induction Algorithms (SpringerBriefs in Computer Science) (2015)
DE PB NWISBN: 9783319142302 bzw. 3319142305, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, 01-3 Tage.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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