Title :
Guest Editorial Learning in Nonstationary and Evolving Environments
Author :
Polikar, Robi ; Alippi, Cesare
Author_Institution :
Rowan University, Glassboro, NJ, USA
Abstract :
The papers in this special issue encompass a broad spectrum of scenarios and problems, including some of the new challenges and fundamental problems that are encountered in learning in nonstationary and evolving environments.
Keywords :
Data models; Feature extraction; Learning systems; Machine learning; Principal component analysis; Robot sensing systems; Special issues and sections;
Journal_Title :
Neural Networks and Learning Systems, IEEE Transactions on
DOI :
10.1109/TNNLS.2013.2283547
