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