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Information Theoretic Learning eBook
Renyi''S Entropy And Kernel Perspectives
idioma: inglês
Editor:
SPRINGER NEW YORK, abril de 2010 ‧
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237,84€
10% DESCONTO
CARTÃO
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DISPONIBILIDADE IMEDIATA
Ebook para ADE
SINOPSE
Information Theoretic Learning (ITL) is a framework where the conventional concepts of second order statistics (covariance, L2 distances, correlation functions) are substituted by scalars and functions with information theoretic underpinnings. This book deals with the ITL algorithms to adapt linear or nonlinear learning machines.
DETALHES
| Propriedade | Descrição |
|---|---|
| ISBN: | 9781441915702 |
| Editor: | SPRINGER NEW YORK |
| Data de Lançamento: | abril de 2010 |
| Idioma: | Inglês |
| Tipo de produto: | eBook |
| Formato e Compatibilidade: | PDF para ADE |
| Coleção: | Information Science And Statistics |
| Classificação Temática: |
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Outras Aplicações
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| EAN: | 9781441915702 |
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