This course explores a selected area relevant to statistical machine learning in depth, and will be taught by an SML staff member of internationally recognised standing and research interest in that area. Based on current SML staffing, this will be one of:

• kernel methods
• graphical models
• reinforcement learning
• convex analysis
• optimisation
• bioinformatics
• minimal description length principle
• topics in information theory
• decision theory

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COMP4670

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