Minimum error entropy classification par marques joaquim (26 résultats)

Etat : New.

Etat : New.

Etat : New.

Etat : New. In English.

Etat : New. In English.

Etat : New. pp. 280.

Etat : New. pp. 280.

Taschenbuch. Etat : Neu. Minimum Error Entropy Classification | Joaquim P. Marques de Sá (u. a.) | Taschenbuch | Studies in Computational Intelligence | xviii | Englisch | 2014 | Springer | EAN 9783642437427 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Hardcover. Etat : Brand New. 2013 edition. 260 pages. 9.25x6.25x0.75 inches. In Stock.

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Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Etat : new. Questo è un articolo print on demand.

Etat : new. Questo è un articolo print on demand.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi-layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE-like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions. 280 pp. Englisch.…

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi-layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE-like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions. 280 pp. Englisch.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents data classification methodologies based on a minimum error entropy approachIncludes both theoretical results and applications to real world datasetsWritten by leading experts in the fieldThis book explains the minimum er.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents data classification methodologies based on a minimum error entropy approachIncludes both theoretical results and applications to real world datasetsWritten by leading experts in the fieldThis book explains the minimum er.…

Etat : New. Print on Demand pp. 280 110 Illus.

Etat : New. Print on Demand pp. 280 110 Illus.

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi¿layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE¿like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi¿layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE¿like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.…

Etat : New. PRINT ON DEMAND pp. 280.

Etat : New. PRINT ON DEMAND pp. 280.