KAIST CS 774 Markov Random Field : Theory and Application Sep 10 , 2009 Lecture 3
نویسندگان
چکیده
In this lecture, we study the Belief propagation algorithm(BP) and the Max Product algorithm(MP). Last lecture reminds us of that in MRF, computing the marginal probabilities of random variables and Maximum A Posteriori(MAP) assignment is important. The Belief Propagation algorithm is a popular algorithm that is used to compute marginal probability of random variables. Max Product algorithm is a similar algorithm for computing MAP assignment. Today, we learn how Belief Propagation algorithm and Max Product algorithm operate.
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