Da: Moe's Books, Berkeley, CA, U.S.A.
EUR 108,72
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: 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.
Da: Buchpark, Trebbin, Germania
EUR 165,72
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut - Neubindung, Buchschnitt leicht verkürzt, Auflage 2009 | Seiten: 378 | Sprache: Englisch | Produktart: Bücher.
Editore: Springer Berlin Heidelberg, 2014
ISBN 10: 3642424392 ISBN 13: 9783642424397
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 213,99
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10: 3642015352 ISBN 13: 9783642015359
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 217,46
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 234,37
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 234,37
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: California Books, Miami, FL, U.S.A.
EUR 256,40
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 208,59
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 209,00
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 299,06
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 365,25
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.