Minimum Error Entropy Classification by Marques Joaquim (26 results)
Minimum Error Entropy Classification
Marques De Sá, Joaquim P.; Silva, Luís M.A.; Santos, Jorge M.F.; Alexandre, Luís A.
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Minimum Error Entropy Classification
Marques De Sá, Joaquim P.; Silva, Luís M.A.; Santos, Jorge M.F.; Alexandre, Luís A.
- Hardcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Minimum Error Entropy Classification
Marques De Sa, Joaquim P.; Silva, Luis M. A.; Santos, Jorge M. F.; Alexandre, Luis A.
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Minimum Error Entropy Classification
Marques De Sa, Joaquim P.; Silva, Luis M. A.; Santos, Jorge M. F.; Alexandre, Luis A.
- Hardcover
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Condition: New. pp. 280.
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Taschenbuch. Condition: 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[a…t]springer[dot]com | Anbieter: preigu.
Minimum Error Entropy Classification
Marques De Sa, Joaquim/ Almeida Da Silva, Luis Miguel/ Santos, Jorge M./ Alexandre, Luis A.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 2013 edition. 260 pages. 9.25x6.25x0.75 inches. In Stock.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 t…he 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.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 wide…r 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.
Minimum Error Entropy Classification
Marques De Sa, Joaquim P.; Silva, Luis M. A.; Santos, Jorge M. F.; Alexandre, Luis A.
- Hardcover
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Minimum Error Entropy Classification (Studies in Computational Intelligence (420))
Marques de Sá, Joaquim P., Silva, Luís M.A., Santos, Jorge M
- Hardcover
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Minimum Error Entropy Classification
Marques De Sa, Joaquim P.; Silva, Luis M. A.; Santos, Jorge M. F.; Alexandre, Luis A.
- Hardcover
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Minimum Error Entropy Classification (Studies in Computational Intelligence, 420)
Marques de Sá, Joaquim P., Silva, Luís M.A., Santos, Jorge M
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: 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, ar…e 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.
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2012, 2012
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: 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 prese…nted 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.
Minimum Error Entropy Classification
Joaquim P. Marques de Sá|Luís M.A. Silva|Jorge M.F. Santos|Luís A. Alexandre
- Softcover
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Seller: moluna, Greven, Germanymoluna
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Condition: 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 th…e minimum er.
Minimum Error Entropy Classification
Joaquim P. Marques de Sá|Luís M.A. Silva|Jorge M.F. Santos|Luís A. Alexandre
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: 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 th…e minimum er.
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 280 110 Illus.
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 280 110 Illus.
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 280.
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 280.
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: 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 pr…esented 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.
- Hardcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Buch. Condition: 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.
