Machine Learning &
Knowledge Discovery Group
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Research
Our group has worked in the past or is still working on the following research topics:
Learning from multi-target data
Learning from multi-label data
Multi-target Regression
Ensemble pruning
Transfer learning for reinforcement learning domains
Knowledge discovery from biological data
Translation Initiation Site Prediction
Polyadenylation Site Prediction
Mining concept-drifting data streams
Web service classification
Focused crawling
Distributed data mining
Learning for planning
Periodicity detection in temporal sequences