Articles liés à Foundations of Computational Intelligence: Function...
Foundations of Computational Intelligence: Function Approximation and Classification (5) - Couverture rigide
Synopsis
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged. The Volume is divided into 2 parts: Part-I: Function Approximation and Classification - Theoretical Foundations Part-II: Function Approximation and Classification - Success Stories and Real World Applications Part I on Function Approximation and Classification - Theoretical Foundations contains six chapters that describe several approaches Feature Selection, the use Decomposition of Correlation Integral, Some Issues on Extensions of Information and Dynamic Information System and a Probabilistic Approach to the Evaluation and Combination of Preferences Chapter 1 "Feature Selection for Partial Least Square Based Dimension Red- tion" by Li and Zeng investigate a systematic feature reduction framework by combing dimension reduction with feature selection. To evaluate the proposed framework authors used four typical data sets.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Date d'édition2009
- ISBN 10 3642015352
- ISBN 13 9783642015359
- ReliureRelié
- Langueanglais
- Nombre de pages376
- ÉditeurAbraham Ajith, Hassanien Aboul Ella, Snášel Vaclav
- Coordonnées du fabricantnon disponible
Acheter neuf
Afficher cet article
EUR 181,53
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisAutres éditions populaires du même titre
Résultats de recherche pour Foundations of Computational Intelligence: Function...
Image d'archives
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification
Edité par
Springer-Verlag, 2009
ISBN 10 : 3642015352
ISBN 13 : 9783642015359
Ancien ou d'occasion
Couverture rigide
Vendeur : Moe's Books, Berkeley, CA, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Hardcover. Etat : Very Good. This an extremely clean copy. There are no markings to the text and only some minor smudges and dings to the cover from shelf/handling wear. N° de réf. du vendeur 1114775
Quantité disponible : 1 disponible(s)
Image d'archives
Foundations of Computational Intelligence Volume 5 : Function Approximation and Classification
Edité par
Springer-Verlag GmbH, 2009
ISBN 10 : 3642015352
ISBN 13 : 9783642015359
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : Sehr gut. Zustand: Sehr gut - Neubindung, Buchschnitt leicht verkürzt, Auflage 2009 | Seiten: 378 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 5406849/12
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Foundations of Computational Intelligence Volume 5
Edité par
Springer Berlin Heidelberg, 2009
ISBN 10 : 3642015352
ISBN 13 : 9783642015359
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fifth volume of a Reference work on the foundations of Computational IntelligenceDevoted to Function Approximation and ClassificationFoundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximatio. N° de réf. du vendeur 5043415
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Foundations of Computational Intelligence Volume 5
Edité par
Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10 : 3642015352
ISBN 13 : 9783642015359
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged. The Volume is divided into 2 parts: Part-I: Function Approximation and Classification - Theoretical Foundations Part-II: Function Approximation and Classification - Success Stories and Real World Applications Part I on Function Approximation and Classification - Theoretical Foundations contains six chapters that describe several approaches Feature Selection, the use Decomposition of Correlation Integral, Some Issues on Extensions of Information and Dynamic Information System and a Probabilistic Approach to the Evaluation and Combination of Preferences Chapter 1 'Feature Selection for Partial Least Square Based Dimension Red- tion' by Li and Zeng investigate a systematic feature reduction framework by combing dimension reduction with feature selection. To evaluate the proposed framework authors used four typical data sets. 376 pp. Englisch. N° de réf. du vendeur 9783642015359
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Foundations of Computational Intelligence Volume 5 : Function Approximation and Classification
Edité par
Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10 : 3642015352
ISBN 13 : 9783642015359
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged. The Volume is divided into 2 parts: Part-I: Function Approximation and Classification - Theoretical Foundations Part-II: Function Approximation and Classification - Success Stories and Real World Applications Part I on Function Approximation and Classification - Theoretical Foundations contains six chapters that describe several approaches Feature Selection, the use Decomposition of Correlation Integral, Some Issues on Extensions of Information and Dynamic Information System and a Probabilistic Approach to the Evaluation and Combination of Preferences Chapter 1 'Feature Selection for Partial Least Square Based Dimension Red- tion' by Li and Zeng investigate a systematic feature reduction framework by combing dimension reduction with feature selection. To evaluate the proposed framework authors used four typical data sets. N° de réf. du vendeur 9783642015359
Quantité disponible : 2 disponible(s)
Image d'archives
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification (Studies in Computational Intelligence, 205)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783642015359_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification (Studies in Computational Intelligence, 205)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur ABLIING23Mar3113020213909
Quantité disponible : Plus de 20 disponibles
Image d'archives
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification (Studies in Computational Intelligence)
Edité par
Springer, 2009
ISBN 10 : 3642015352
ISBN 13 : 9783642015359
Ancien ou d'occasion
Couverture rigide
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Hardcover. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA79736420153526
Quantité disponible : 1 disponible(s)