دانلود کتاب Minimum Error Entropy Classification

Name: Minimum Error Entropy Classification
Availability: InStock
Author: Joaquim P. Marques de Sá
ISBN: 9783642290282, 9783642290299

by Joaquim P. Marques de Sá, Luís M.A. Silva, Jorge M.F. Santos, Luís A. Alexandre (auth.)

عنوان فارسی: طبقه بندی حداقل خطا آنتروپی
ناشر: Springer-Verlag Berlin Heidelberg
سال: 2013
ویرایش: 1
زبان: انگلیسی
تعداد صفحه (نسخه چاپی - نسخه الکترونیکی): 262-269
شابک: 9783642290282, 9783642290299
نوع فایل: PDF دانلود نرم افزار مطالعه
حجم: 4.00 مگابایت

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جزییات کتاب

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.