Google Tech Talk July 6, 2009 ABSTRACT [note: apologies for the overscanned slides - you can find full resolution slides at www.cog.brown.edu ] Presented by Mark Johnson, Brown University. Nonparametric Bayesian methods are interesting because they may provide a way of learning the appropriate units of generalization as well as the generalization's probability or weight. Adaptor Grammars are a framework for stating a variety of hierarchical nonparametric Bayesian models, where the units of …
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