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31- Feb 2 Exact Inference; Message Passing Chapters 9, 10 Homework 3 released.
Since exact inference takes exponential time in general, a variety of approximate methods are used.
Students implement exact inference using the forward algorithm and approximate inference via particle filters.
"Improving coverage and runtime complexity for exact inference in non-projective transition-based dependency parsers".
In this paper, we exploit parallelism in exact inference at multiple levels.
And our model is a tree structure, which can be trained jointly and favors exact inference.
We introduce an any-space algorithm for exact inference in Bayesian networks, called recursive conditioning.
[Finley/Joachims/08a] T. Finley and T. Joachims, Training Structural SVMs when Exact Inference is Intractable, Proceedings of the International Conference on Machine Learning (ICML), 2008.
Exact inference is a key problem in exploring probabilistic graphical models, where the computation complexity increases dramatically with the network structure and clique size.
We propose a rerooting method to minimize the critical path for exact inference, and an efficient scheduler to dynamically allocate SPEs.
We designed a method which breaks down the problem into a feasible number of subproblems for which exact inference can be applied.
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