This thesis consists of complementary studies concerned with the ensemble
learning scheme Stacking (Wolpert, 1992) We will explore various aspects of
its behaviour and also clarify its relation to related ensemble learning schemes
in two ways: by showing that it is usually the best choice among ensemble learning
schemes2 and also by demonstrating that most ensemble learning schemes
can be simulated by Stacking (Chapter 7), making it the most general ensemble
learning scheme