Deep Optimisation: Solving Combinatorial Optimisation Problems using Deep Neural Networks

no code implementations • 2 Nov 2018 • J. R. Caldwell, R. A. Watson, C. Thies, J. D. Knowles

Deep Optimisation (DO) combines evolutionary search with Deep Neural Networks (DNNs) in a novel way - not for optimising a learning algorithm, but for finding a solution to an optimisation problem.

Evolutionary Algorithms

Hellinger Distance Trees for Imbalanced Streams

no code implementations • 9 May 2014 • R. J. Lyon, J. M. Brooke, J. D. Knowles, B. W. Stappers

This is known as the imbalanced learning problem.

A Study on Classification in Imbalanced and Partially-Labelled Data Streams

no code implementations • 30 Jul 2013 • R. J. Lyon, J. M. Brooke, J. D. Knowles, B. W. Stappers

The domain of radio astronomy is currently facing significant computational challenges, foremost amongst which are those posed by the development of the world's largest radio telescope, the Square Kilometre Array (SKA).

Astronomy General Classification