Minimum Error Entropy Classification

• Κύριοι συγγραφείς: Marques de Sá, Joaquim P. (Συγγραφέας), Silva, Luís M.A (Συγγραφέας), Santos, Jorge M.F (Συγγραφέας), Alexandre, Luís A. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Studies in Computational Intelligence, 420
• Θέματα: Engineering.; Artificial intelligence.; Statistical physics.; Dynamical systems.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Statistical Physics, Dynamical Systems and Complexity.

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...

Πίνακας περιεχομένων:

• Introduction
• Continuous Risk Functionals
• MEE with Continuous Errors
• MEE with Discrete Errors
• EE-Inspired Risks
• Applications.