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

Machine learning stimulates a broad range of computational methods that exploit experience, which typically takes the form of electronic data, to make profitabl

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

Theory, algorithms, and applications of machine learning techniques to overcome "covariate shift" non-stationarity.