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There has been growing interest in using joint inference across multiple subtasks as a mechanism for avoiding the cascading accumulation of errors in traditional pipelines. Several recent papers demonstrate joint inference between the segmentation of entity mentions and their de-duplication, however ...
Leto: 2009 Vir: videolectures.net
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Oznake: computer science;machine learning;bayesian learning
In this work, we distribute the MCMC-based MAP inference using the Map-Reduce framework. The variables are assigned randomly to machines, which leads to some factors that neighbor vari- ables on separate machines. Parallel MCMC-chains are initiated using proposal distributions that only suggest loca ...
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 2
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