215 search results - page 1 / 43 » Coarse-to-Fine Inference and Learning for First-Order Probab... |
AAAI
2011
12 years 4 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
AAAI
2012
11 years 7 months ago
2012
Tractable subsets of first-order logic are a central topic in AI research. Several of these formalisms have been used as the basis for first-order probabilistic languages. Howev...
NAACL
2007
13 years 6 months ago
2007
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
AIPS
2007
13 years 6 months ago
2007
Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a com...
JMLR
2010
12 years 11 months ago
2010
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...