Lecture 22: Probabilistic Inference II

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Description: We begin with a review of inference nets, then discuss how to use experimental data to develop a model, which can be used to perform simulations. If we have two competing models, we can use Bayes' rule to determine which is more likely to be accurate.

Instructor: Patrick H. Winston

Related Resources

Specifically developed for this lecture are the probabilistic inference notes (PDF), which are also listed among the readings for this course.