Minimum Error Entropy Classification [electronic resource] /
Marques de Sá, Joaquim P.author.
Silva, Luís M.A.author.
Santos, Jorge M.F.author.
Alexandre, Luís A.author.(orcid)0000-0002-5133-5025https://orcid.org/0000-0002-5133-5025aut
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.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
Introduction -- Continuous Risk Functionals -- MEE with Continuous Errors -- MEE with Discrete Errors -- EE-Inspired Risks -- Applications.
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.
Computational intelligence.
Artificial intelligence.
Statistical physics.
Dynamical systems.
Computational Intelligence.
Artificial Intelligence.
Complex Systems.
Statistical Physics and Dynamical Systems.
Studies in Computational Intelligence