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Minimum Error Entropy Classification (Hardcover, 2013 ed.) Loot Price: R3,380
Discovery Miles 33 800
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Minimum Error Entropy Classification (Hardcover, 2013 ed.): Joaquim P. Marques De Sa, Luis M.A. Silva, Jorge M.F. Santos, Luis...

Minimum Error Entropy Classification (Hardcover, 2013 ed.)

Joaquim P. Marques De Sa, Luis M.A. Silva, Jorge M.F. Santos, Luis A. Alexandre

Series: Studies in Computational Intelligence, 420

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List price R4,181 Loot Price R3,380 Discovery Miles 33 800 | Repayment Terms: R317 pm x 12* You Save R801 (19%)

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 420
Release date: July 2012
First published: 2013
Authors: Joaquim P. Marques De Sa • Luis M.A. Silva • Jorge M.F. Santos • Luis A. Alexandre
Dimensions: 235 x 155 x 17mm (L x W x T)
Format: Hardcover
Pages: 262
Edition: 2013 ed.
ISBN-13: 978-3-642-29028-2
Categories: Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-29028-0
Barcode: 9783642290282

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