Faithin Omaha eBook Collection

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

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.

The fusion of di?erent information sourcesis a persistent and intriguing issue. It hasbeenaddressedforcenturiesinvariousdisciplines,includingpoliticalscience, p

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzin