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.

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

Combinatorial optimization is the process of finding the best, or optimal, so lution for problems with a discrete set of feasible solutions. Applications arise