Artículos relacionados a Decision Tree and Ensemble Learning Based on Ant Colony...
Decision Tree and Ensemble Learning Based on Ant Colony Optimization: 781 (Studies in Computational Intelligence) - Tapa blanda
- EditorialSpringer
- Año de publicación2019
- ISBN 10 3030067165
- ISBN 13 9783030067168
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas172
Comprar nuevo
Ver este artículo
EUR 106,84
EUR 3,57 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoOtras ediciones populares con el mismo título
Resultados de la búsqueda para Decision Tree and Ensemble Learning Based on Ant Colony...
Imagen de archivo
Decision Tree and Ensemble Learning Based on Ant Colony Optimization (Studies in Computational Intelligence, 781)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020004237
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Publicado por
Springer International Publishing Feb 2019, 2019
ISBN 10: 3030067165
ISBN 13: 9783030067168
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783030067168
Gastos de envío:
EUR 23,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 2 disponibles
Imagen de archivo
Decision Tree and Ensemble Learning Based on Ant Colony Optimization (Studies in Computational Intelligence, 781)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783030067168_new
Gastos de envío:
EUR 14,25
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Publicado por
Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030067165
ISBN 13: 9783030067168
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783030067168
Gastos de envío:
EUR 29,35
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen del vendedor
Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Publicado por
Springer International Publishing, 2019
ISBN 10: 3030067165
ISBN 13: 9783030067168
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 448670072
Gastos de envío:
EUR 48,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles