824 search results - page 66 / 165 » Learning probabilistic logic models from probabilistic examp... |
175
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ILP
2007
Springer
15 years 10 months ago
2007
Springer
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
151
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EMNLP
2011
14 years 3 months ago
2011
We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Tradi...
134
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
153
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
134
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...