Learning Under Concept Drift
Chaitanya Manapragada · Figshare · 2021
Most extant machine learning strategies focus on learning to make predictions in environments that assume concepts never change. This thesis studies how algorithms can make effective predictions in a changing world where processes of interest are constantly evolving.