OXFORD UNIVERSITY COMPUTING LABORATORY

Intelligent Systems II


Syllabus

Learning in intelligent systems. General inference in Bayesian networks; likelihood estimation. Logic, knowledge representation and reasoning. Rationality, and the principle of maximum expected utility. Examples.



[Oxford Spires]



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