Keywords

#inside–outside_algorithm

Inside–outside algorithm

Parameter estimation method for probabilistic context-free grammars

For parsing algorithms in computer science, the inside–outside algorithm is a way of re-estimating production probabilities in a probabilistic context-free grammar. It was introduced by James K. Baker in 1979 as a generalization of the forward–backward algorithm for parameter estimation on hidden Markov models to stochastic context-free grammars. It is used to compute expectations, for example as part of the expectation–maximization algorithm.

Wed 8th

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Inside–outside algorithm Point in polygon Inside Outside Probabilistic context-free grammar Expectation–maximization algorithm List of algorithms CYK algorithm Cohen–Sutherland algorithm Maze-solving algorithm Sutherland–Hodgman algorithm
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