Book 'Learning in Non-Stationary Environments' released (Springer, New York)

The book Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies from renowned international researchers in the field of incremental learning and evolving methods for handling increased system complexity, state changes, new upcoming operation modes and dynamic environmental influences. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy.