Learning from data with the maximum correntropy criterion
Auteur :
Chen, Badong / Xing, Lei / Zheng, Nanning / Principe, José C.
Éditeur :
Cambridge University Press
ISBN :
9781009366687
Date de publication :
31 déc. 2026
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This essential resource for researchers and graduate students in signal processing and AI introduces correntropy-based learning methods that outperform traditional techniques in challenging environments involving noisy real-world data. Topics covered include adaptive filtering, neural networks, and machine learning.