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Learning Under Concept Drift

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thesis
posted on 13.05.2021, 05:56 authored by CHAITANYA MANAPRAGADA
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.

History

Campus location

Australia

Principal supervisor

Geoff Ian Webb

Additional supervisor 1

Mahsa Salehi

Year of Award

2021

Department, School or Centre

Clayton School of IT

Course

Doctor of Philosophy

Degree Type

DOCTORATE