Marques de S�a, Joaquim P. <br/><br/>
Minimum Error Entropy Classification  [electronic resource] / 
by Joaquim P. Marques de S�a, Lu�is M.A. Silva, Jorge M.F. Santos, Lu�is A. Alexandre. 
 - XVIII, 262 p.  online resource. 
 - Studies in Computational Intelligence,  420  1860-949X ; .
 - Studies in Computational Intelligence,  420 .
<br/><br/>Introduction -- Continuous Risk Functionals -- MEE with Continuous Errors -- MEE with Discrete Errors -- EE-Inspired Risks -- Applications. 
<br/><br/> 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&#x2010;layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE&#x2010;like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions. 
<br/><br/><label>ISBN: </label>9783642290299 
<br/><br/><label>Standard No.: </label>10.1007/978-3-642-29029-9  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering.<br/>Artificial intelligence.<br/>Statistical physics.<br/>Dynamical systems.<br/>Computational intelligence.<br/>Engineering.<br/>Computational Intelligence.<br/>Artificial Intelligence (incl. Robotics).<br/>Statistical Physics, Dynamical Systems and Complexity.
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3