Universidade Federal do Ceará
Programa de Pós-Graduação em Engenharia de Teleinformática

Aula Magna do PPGETI
A Close Form Solution for Nonlinear Regression

Palestrante:
Jose C. Principe, Ph.D (University of Florida)

Data: 4 de março de 2026

Local: Audiório do LESC (Bloco 723, do Campus do Pici)

Abstract

The Wiener filter is a landmark achievement in optimum filtering, but unfortunately, the output is always in the span of the input space. This talk will show how to extend the Wiener solution to a functional space, providing a close form solution to nonlinear regression and optimum filtering. We define a data dependent Reproducing Kernel Hilbert Space using the autocorrelation function of the input data and show how to construct such space directly from realizations of the random process. We will compare experimentally the results with conventional Kernal Adaptive Filtering.

Bio do palestrante

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 statistical signal processing, machine learning and brain computer interfaces modeling. He is Eckis Endowed 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 time series analysis in functional spaces, information theoretic learning and AI cognitive architectures.

Dr. Principe is an IEEE, AAAS, IABME, AIMBE and NDA Fellow. He was awarded the IEEE Neural Network Pioneer Award from the Computational intelligence Society, the IEEE Shannon-Nyquist Technical Achievement Award from the Signal Processing Society, the EMBS Career Achievement Award, and the Teacher Scholar of the Year from the U. of Florida. He was the past Chair of the Technical Committee on Neural Networks of the IEEE Signal Processing Society, Past-President of the International Neural Network Society, and Past-Editor in Chief of the IEEE Transactions on Biomedical Engineering. Dr. Principe has more than 800 publications and an H index of 104 (Google Scholar). He directed 112 Ph.D. dissertations and 65 Master theses. He wrote in 2000 an interactive electronic book entitled “Neural and Adaptive Systems” published by John Wiley and Sons and more recently co-authored several books on “Brain Machine Interface Engineering” Morgan and Claypool, “Information Theoretic Learning”, Springer, and “Kernel Adaptive Filtering”, Wiley.