Luís A. Alexandre – författare
Pattern Recognition and Image Analysis
8th Iberian Conference, IbPRIA 2017, Faro, Portugal, June 20-23, 2017, Proceedings
560 kr
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734 kr
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1 113 kr
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1 416 kr
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1 113 kr
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1 416 kr
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Minimum Error Entropy Classification
1 081 kr
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1 416 kr
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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.
Minimum Error Entropy Classification
1 081 kr
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