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Learning in a dynamic and ever changing world

Primary supervisor

Geoff Webb

The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon our groundbreaking research into the problem.

Student cohort

Single Semester
Double Semester

Required knowledge

A solid grounding in machine learning