Items related to Foundations of Computational Intelligence Volume 5:...
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification (Studies in Computational Intelligence, 205) - Hardcover
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
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 mathematics.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 Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research articles 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 and Part-II: Function Approximation and Classification – Success Stories and Real World Applications.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2009
- ISBN 10 3642015352
- ISBN 13 9783642015359
- BindingHardcover
- LanguageEnglish
- Number of pages386
- EditorAbraham Ajith, Hassanien Aboul-Ella, Snášel Vaclav
Other Popular Editions of the Same Title
Search results for Foundations of Computational Intelligence Volume 5:...
Stock Image
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification
Seller: Moe's Books, Berkeley, CA, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Condition: 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. Seller Inventory # 1114775
Quantity: 1 available
Stock Image
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification (Studies in Computational Intelligence, 205)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar3113020213909
Quantity: Over 20 available
Stock Image
Foundations of Computational Intelligence Volume 5 : Function Approximation and Classification
Seller: Buchpark, Trebbin, Germany
Seller rating 5 out of 5 stars
Condition: Sehr gut. Zustand: Sehr gut - Neubindung, Buchschnitt leicht verkürzt, Auflage 2009 | Seiten: 378 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 5406849/12
Quantity: 1 available
Seller Image
Foundations of Computational Intelligence Volume 5
Published by
Springer Berlin Heidelberg, 2009
ISBN 10: 3642015352
ISBN 13: 9783642015359
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Gebunden. Condition: 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. Seller Inventory # 5043415
Quantity: Over 20 available
Seller Image
Foundations of Computational Intelligence Volume 5
Published by
Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10: 3642015352
ISBN 13: 9783642015359
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9783642015359
Quantity: 2 available
Stock Image
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification (Studies in Computational Intelligence, 205)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9783642015359_new
Quantity: Over 20 available
Seller Image
Foundations of Computational Intelligence Volume 5 : Function Approximation and Classification
Published by
Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10: 3642015352
ISBN 13: 9783642015359
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9783642015359
Quantity: 2 available
Stock Image
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification (Studies in Computational Intelligence)
Seller: Mispah books, Redhill, SURRE, United Kingdom
Seller rating 4 out of 5 stars
Hardcover. Condition: Like New. Like New. book. Seller Inventory # ERICA79736420153526
Quantity: 1 available