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==Topics== ===AI Foundations=== *Machine Learning and Data Mining *Evolutionary computing, Bayesian and Neural Networks *Pre-processing, Dimension Reduction and Feature Selection *Decision/Utility Theory and Decision Optimization *Learning Graphical Models and Complex Networks *Search, SAT, and CSP Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Multi-Task Learning *Description Logic and Ontologies *Transfer/Adaptive, Rational and Structured Learning ===AI in Domain-specific Applications=== *Preference/Ranking, Ensemble, and Reinforcement Learning ===AI in Computational Biology, Medicine and Biomedical Applications=== *Knowledge Representation, Reasoning and Cognitive Modelling
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