Minimum Error Entropy Classification

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

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2013
Tongue: English
Leaves: 269
Series: Studies in Computational Intelligence 420
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages 1-15
Introduction....Pages 1-11
Continuous Risk Functionals....Pages 13-39
MEE with Continuous Errors....Pages 41-91
MEE with Discrete Errors....Pages 93-120
EE-Inspired Risks....Pages 121-137
Applications....Pages 139-213
Back Matter....Pages 215-259

✦ Subjects

Computational Intelligence;Artificial Intelligence (incl. Robotics);Statistical Physics, Dynamical Systems and Complexity

📜 SIMILAR VOLUMES

Minimum error entropy classification

📁 Minimum error entropy classification

✍ Joaquim P. Marques de Sá, Luís M.A. Silva, Jorge M.F. Santos, Luís A. Alexandre 📂 Library 📅 2013 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

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.Rese

Minimum Entropy H∞ Control

📁 Minimum Entropy H∞ Control

✍ Dennis Mustafa, Keith Glover (eds.) 📂 Library 📅 1990 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This monograph is concerned with the design of feedback controllers for linear multivariable systems, which are robust to system uncertainty. System uncertainty can be realistically represented by including perturbations with bounded H?-norm, and this is the approach taken here. For a given H?-no

Minimum Entropy H∞ Control

📁 Minimum Entropy H∞ Control

✍ Dennis Mustafa, Keith Glover (eds.) 📂 Library 📅 1990 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Minimum Entropy H∞ Control

📁 Minimum Entropy H∞ Control

✍ Dennis Mustafa, Keith Glover (eds.) 📂 Library 📅 1990 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Minimum entropy production principle

📁 Minimum entropy production principle

✍ Jaynes E.T. 📂 Library 📅 1980 🌐 English

It seems intuitively reasonable that Gibbs' variational principle determining the conditions of heterogeneous equilibrium can be generalized to nonequilibrium conditions. That is, a nonequilibrium steady state should be the one that makes some kind of generalized entropy production stationary; and e

Minimum entropy H-infinity control

📁 Minimum entropy H-infinity control

✍ D. Mustafa, K. Glover 📂 Library 📅 1990 🏛 Springer 🌐 English

This monograph is concerned with the design of feedback controllers for linear multivariable systems, which are robust to system uncertainty. System uncertainty can be realistically represented by including perturbations with bounded H?-norm, and this is the approach taken here. For a given H?-norm