Theory, algorithms, and applications of machine learning techniques to overcome “covariate shift” non-stationarity. As the power of computing has grown over

Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system c

Dealing with non-stationarity is one of modem machine learning's greatest challenges. This book focuses on a specific non-stationary environment known as covari

This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary