An Introduction to Information Theoretic Learning, Part II: Applications
Daniel G. Silva, Denis G. Fantinato, Jânio Canuto, Leonardo Tomazeli Duarte, Aline O. Neves, Ricardo Suyama, Jugurta Montalvão, Romis Attux · Journal of Communication and Information Systems · 2016
This is the second part of the introductory tutorial about information theoretic learning, which, after the theoretical foundations presented in Part I, now discusses the concepts of correntropy, a new similarity measure derived from the quadratic entropy, and presents example problems where the ITL framework can be successfully applied: dynamic modelling, equalization, independent component analysis and cluster analysis.