An Introduction to Information Theoretic Learning, Part II: Applications
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Abstract
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.
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Silva, D., Fantinato, D., Canuto, J., Duarte, L., Neves, A., Suyama, R., … Attux, R. (2016). An Introduction to Information Theoretic Learning, Part II: Applications. Journal of Communication and Information Systems, 31(1). https://doi.org/10.14209/jcis.2016.7
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Tutorial Papers
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