Trending Bestseller

Minimum Error Entropy Classification

No reviews yet Write a Review
Hardback
25 July 2012
RRP: $185.90
$183.11
Ships in 3-5 business days

Delivery estimate

Hurry up! Current stock:

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.

You Can Find This Title In

    Product Details
    ISBN-13
    9783642290282
    Author
    Joaquim P. Marques de Sá
    Publisher
    Springer Nature B.V.
    Published
    25 July 2012
    Format
    Hardback

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $185.90
    $183.11
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Minimum Error Entropy Classification

    RRP: $185.90
    $183.11

    Description

    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.

    You Can Find This Title In

      This Title Is Categorised As