Feature Selection in High Dimensional Data Using Metaheuristic
Haider Banka
ISBN 10: 3330030631 ISBN 13: 9783330030633
Editorial: LAP LAMBERT Academic Publishing, 2017
Nuevos
Paperback
Librería:
Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 6 de enero de 2003
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Descripción
Descripción:
124 pages. 8.66x5.91x0.28 inches. In Stock. N° de ref. del artículo __3330030631
Sinopsis:
This books covers a state of the art literature on classical feature selection problem using some of the most recently developed methods. The feature selection problem has been investigated with great detail particularly in high dimensional space. The whole book consists of 7seven chapters covering many soft computing techniques such as PSO, GA, NSGA-II, ACO and others to deal with the feature selection problem. We hope that this edition will be more beneficial to all beginners, researchers and experts as well.
Reseña del editor: This books covers a state of the art literature on classical feature selection problem using some of the most recently developed methods. The feature selection problem has been investigated with great detail particularly in high dimensional space. The whole book consists of 7seven chapters covering many soft computing techniques such as PSO, GA, NSGA-II, ACO and others to deal with the feature selection problem. We hope that this edition will be more beneficial to all beginners, researchers and experts as well.
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Detalles bibliográficos
Título: Feature Selection in High Dimensional Data ...
Editorial: LAP LAMBERT Academic Publishing
Año de publicación: 2017
Encuadernación: Paperback
Condición: Brand New