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Автор: Jose C. Principe

Підтримка
Weifeng Liu, Ph D, is a senior engineer of the Demand Forecasting Team at Amazon.com Inc. His research interests include kernel adaptive filtering, online active learning, and solving real-life large-scale data mining problems. José C. Principe is Distinguished Professor of Electrical and Biomedical Engineering at the University of Florida, Gainesville, where he teaches advanced signal processing and artificial neural networks modeling. He is Bell South Professor and founder and Director of the University of Florida Computational Neuro-Engineering Laboratory. Simon Haykin is Distinguished University Professor at Mc Master University, Canada.He is world-renowned for his contributions to adaptive filtering applied to radar and communications. Haykin”s current research passion is focused on cognitive dynamic systems, including applications on cognitive radio and cognitive radar.




11 Електронні книги від Jose C. Principe

Weifeng Liu & José C. Principe: Kernel Adaptive Filtering
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced …
PDF
Англійська
DRM
€107.99
Weifeng Liu & José C. Principe: Kernel Adaptive Filtering
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced …
EPUB
Англійська
DRM
€107.99
Theodore W. Berger & John K. Chapin: Brain-Computer Interfaces
We have come to know that our ability to survive and grow as a nation to a very large degree depends upon our scientific progress. Moreover, it is not enough simply to keep 1 abreast of the rest of …
PDF
Англійська
€96.29
Jose C. Principe: Information Theoretic Learning
PDF
Англійська
€213.99
Pablo A. Estévez & José C. Príncipe: Advances in Self-Organizing Maps
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10, 000 works have been based on SOMs. SOMs are unsupervised neural networks useful for cluster …
PDF
Англійська
€213.99
Badong Chen & Jinchun Hu: System Parameter Identification
Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal …
EPUB
Англійська
DRM
€91.63
Danilo Comminiello & Jose C. Principe: Adaptive Learning Methods for Nonlinear System Modeling
Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and …
EPUB
Англійська
DRM
€154.40
Simon Haykin & John McWhirter: New Directions in Statistical Signal Processing
Leading researchers in signal processing and neural computation present work aimed at promoting the interaction and cross-fertilization between the two fields. Signal processing and neural …
PDF
Англійська
DRM
€124.39
Ruslan L. Stratonovich: Theory of Information and its Value
This English version of Ruslan L. Stratonovich’s Theory of Information (1975) builds on theory and provides methods, techniques, and concepts toward utilizing critical applications. Un …
PDF
Англійська
€117.69
Badong Chen & Lujuan Dang: Kalman Filtering Under Information Theoretic Criteria
This book provides several efficient Kalman filters (linear or nonlinear) under information theoretic criteria. They achieve excellent performance in complicated non-Gaussian noises with low …
PDF
Англійська
€117.69