| Title | Advances in Kernel Methods |
| Speaker | Prof. Jose Principe |
| Chair | Marios Polycarpou |
Abstract
Kernel Methods have seen an upsurge in computational intelligent because they are a mathematically principled methodology with excellent compromise between power, flexibility and computation complexity. This talk will critically survey the methodology, review the most common applications and will present recent developments in online kernel learning to attack both the problem of nonstationarity in time series analysis (streaming data) and large scale learning problems.
Biography
Jose C. Principe (M’83-SM’90-F’00) is a Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural networks (ANNs) modeling. He is BellSouth Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu. His primary area of interest is processing of time varying signals with adaptive neural models. The CNEL Lab is studying signal and pattern recognition principles based on information theoretic criteria (entropy and mutual information) and applying these advanced algorithms to Brain Machine Interfaces (both motor as well as somatosensory feedback).
Dr. Principe is an IEEE, ABME, AIBME Fellow. He is the Past-Editor in Chief of the IEEE Transactions on Biomedical Engineering, past Chair of the Technical Committee on Neural Networks of the IEEE Signal Processing Society, and Past-President of the International Neural Network Society. He received the IEEE EMBS Career Award, and the IEEE Neural Network Pioneer Award. He has Honorary Doctor Degrees from the U. of Reggio Calabria Italy, S. Luis Maranhao Brazil and Aalto U. in Finland. Currently he is the Editor in Chief of the IEEE Reviews in Biomedical Engineering. Dr. Principe has more than 600 publications. He directed 73 Ph.D. dissertations and 65 Master theses. He wrote four books: an interactive electronic book entitled “Neural and Adaptive Systems: Fundamentals through Simulation” (Wiley), “Brain Machine Interface Engineering”, Kernel Adaptive Filtering (Wiley), and Information Theoretic Learning (Springer).
