Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute.Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses. 156 pp. Englisch. N� de ref. del art�culo: 9783031085871

Contactar al vendedor

Comprar nuevo

EUR 160,49

Convertir moneda

Gastos de env�o: EUR 23,00

De Alemania a Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: 2 disponibles

A�adir al carrito

Imagen del vendedor

Decision Trees with Hypotheses

Azad, Mohammad|Chikalov, Igor|Hussain, Shahid|Moshkov, Mikhail|Zielosko, Beata

Publicado por Springer, Berlin|Springer International Publishing|Springer, 2023

ISBN 10: 3031085876 ISBN 13: 9783031085871

Nuevo Tapa blanda

Impresi�n bajo demanda

Librería: moluna, Greven, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries f. N� de ref. del art�culo: 1199164676

Contactar al vendedor

Comprar nuevo

EUR 136,16

Convertir moneda

Gastos de env�o: EUR 48,99

De Alemania a Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: M�s de 20 disponibles

A�adir al carrito

Imagen del vendedor

Decision Trees with Hypotheses

Mohammad Azad

Publicado por Springer International Publishing, Springer International Publishing, 2023

ISBN 10: 3031085876 ISBN 13: 9783031085871

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute.Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses. N� de ref. del art�culo: 9783031085871

Contactar al vendedor

Comprar nuevo

EUR 160,49

Convertir moneda

Gastos de env�o: EUR 29,36

De Alemania a Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen de archivo

Decision Trees with Hypotheses (Paperback)

Mohammad Azad

Publicado por Springer International Publishing AG, Cham, 2023

ISBN 10: 3031085876 ISBN 13: 9783031085871

Nuevo Paperback

Librería: CitiRetail, Stevenage, Reino Unido

Calificaci�n del vendedor: 5 de 5 estrellas

Paperback. Condici�n: new. Paperback. In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses. The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de ref. del art�culo: 9783031085871

Contactar al vendedor