Are you between 5 and 25? If so, enter the Wicked Young Writer Awards NOW - click here for details...

newgen books for YA readers
Search our site
Last Letter from Istanbul by Lucy Foley Read the opening extract of the brand new Lucy Foley book before its publication on 19/03/2018

Information Theoretic Learning Renyi's Entropy and Kernel Perspectives by Jose C. Principe

Information Theoretic Learning Renyi's Entropy and Kernel Perspectives

Part of the Information Science and Statistics Series


Information Theoretic Learning Renyi's Entropy and Kernel Perspectives by Jose C. Principe

This bookisan outgrowthoften yearsof researchatthe Universityof Florida Computational NeuroEngineering Laboratory (CNEL) in the general area of statistical signal processing and machine learning. One of the goals of writing the book is exactly to bridge the two ?elds that share so many common problems and techniques but are not yet e?ectively collaborating. Unlikeotherbooks thatcoverthe state ofthe artinagiven?eld,this book cuts across engineering (signal processing) and statistics (machine learning) withacommontheme:learningseenfromthepointofviewofinformationt- orywithanemphasisonRenyi'sde?nitionofinformation.Thebasicapproach is to utilize the information theory descriptors of entropy and divergence as nonparametric cost functions for the design of adaptive systems in unsup- vised or supervised training modes. Hence the title: Information-Theoretic Learning (ITL). In the course of these studies, we discovered that the main idea enabling a synergistic view as well as algorithmic implementations, does not involve the conventional central moments of the data (mean and covariance). Rather, the core concept is the ?-norm of the PDF, in part- ular its expected value (? = 2), which we call the information potential. This operator and related nonparametric estimators link information theory, optimization of adaptive systems, and reproducing kernel Hilbert spaces in a simple and unconventional way.


From the book reviews: The book is remarkable in various ways in the information it presents on the concept and use of entropy functions and their applications in signal processing and solution of statistical problems such as M-estimation, classification, and clustering. Students of engineering and statistics will greatly benefit by reading it. (C. R. Rao, Technometrics, Vol. 55 (1), February, 2013)

About the Author

Jose C. Principe is Distinguished Professor of Electrical and Biomedical Engineering, and BellSouth Professor at the University of Florida, and the Founder and Director of the Computational NeuroEngineering Laboratory. He is an IEEE and AIMBE Fellow, Past President of the International Neural Network Society, Past Editor-in-Chief of the IEEE Trans. on Biomedical Engineering and the Founder Editor-in-Chief of the IEEE Reviews on Biomedical Engineering. He has written an interactive electronic book on Neural Networks, a book on Brain Machine Interface Engineering and more recently a book on Kernel Adaptive Filtering, and was awarded the 2011 IEEE Neural Network Pioneer Award.

More books by this author
Author 'Like for Like' recommendations

Loading other formats...

Book Info

Publication date

27th May 2012


Jose C. Principe

More books by Jose C. Principe
Author 'Like for Like'


Springer-Verlag New York Inc.


448 pages


Computer science
Artificial intelligence
Imaging systems & technology
Artificial intelligence
Probability & statistics
Geographical information systems (GIS) & remote sensing



Discover new authors and enjoy old favourites; oodles of literary gems to uncover at Lovereading with candid reviews from real reviewers.

Emily Wright

Lovereading - a community of people passionate about reading and sharing their views. An incomparable website for book lovers.

Helen Clark

Lovereading always comes up with great suggestions and has introduced me to enjoyable books and new authors to discover.

Gaynor Passmore

I love Lovereading for the wonderful like for like author recommendations and for highlighting new books, it's a great resource for readers!


I love Lovereading because of its ability to connect people that love books & unite them in a friendly, stimulating & interesting community.

Megan Olwen William

I love the honest opinions, recommendations for every genre and every reader, wish lists and Like for Like.

Amrita Dasgupta

Its jam packed with fantastic titles, informative descriptions & fantastic reviews and has a vast array of great features & competitions.

Linda Rollins

A well laid out site, I love the fact that is separates paranormal fiction from fantasy and horror, which other sites don't.

Jen Rainbow