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School of Computer Science

Machine Learning and Optimization






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Maintained by G.Brown
The Manchester MLO Group conducts world-leading research into a wide range of techniques and applications of machine learning, optimization, data mining, probabilistic modelling, pattern recognition and machine perception. The group spans the field from new theoretical developments to large applications, and is currently supported by a number of research bodies, including EPSRC, BBSRC, and several industry partners.

NEWS: older news items...

Sept 2014: Congrats to MLO PhD student Rob Lyon and supervisor Josh Knowles, on the discovery of 5 new pulsars!
See details here.

Sept 2014: Congrats to Kostas Sechidis and Gavin Brown on winning Best Student Paper prize at ECML!
See the full paper and other materials here.

Nov 2013: Congrats to Adam Pocock (supervisor Gavin Brown) winning the BCS Distinguished Dissertation Award 2013!!
BCS press release here!

March 2013: Congratulations to MLO members Ming-Jie Zhao, Narayanan Edakunni, Adam Pocock and Gavin Brown, on their new JMLR paper Beyond Fano's inequality: bounds on the optimal F-score, balanced error rate, and cost-sensitive risk using conditional entropy and their implications .

Want to study with us for a PhD?

speech recognition, reinforcement learning, ensemble methods, multiobjective optimisation, systems biology, probabilistic models, evolutionary algorithms, image processing, deep neural nets, dynamical systems, boosting, information theory, bayesian methods, online learning, fuzzy systems, speaker identification, optimisation algorithms, semi-supervised learning, unsupervised learning, biochemical networks, neural networks, concept drift, feature selection, game theory, dimensionality reduction,