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The top documents tagged [learning model parameters]
A probabilistic model for retrospective news event detection Zhiwei Li, Bin Wang, Mingjing Li and Wei-Ying Ma. A probabilistic model for retrospective
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Pierre Vermaak UCT. An attempt to automate the discovery of initial solution candidates. Example-based learning Why? ◦ Track record on difficult
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Overview Full Bayesian Learning MAP learning Maximun Likelihood Learning Learning Bayesian Networks Fully observable (complete data) With hidden
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A Confidence Model for Syntactically-Motivated Entailment Proofs Asher Stern & Ido Dagan ISCOL June 2011, Israel 1
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Review: Hidden Markov Models Efficient dynamic programming algorithms exist for –Finding Pr(S) –The highest probability path P that maximizes Pr(S,P) (Viterbi)
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