Sciweavers

775 search results - page 1 / 155
» First-order probabilistic inference
Sort
View
AAAI
2011
12 years 5 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
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...
Chloe Kiddon, Pedro Domingos
AAAI
2012
11 years 7 months ago
A Tractable First-Order Probabilistic Logic
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...
Pedro Domingos, William Austin Webb
ECAI
2010
Springer
13 years 6 months ago
ProbLog Technology for Inference in a Probabilistic First Order Logic
We introduce First Order ProbLog, an extension of first order logic with soft constraints where formulas are guarded by probabilistic facts. The paper defines a semantics for FOPro...
Maurice Bruynooghe, Theofrastos Mantadelis, Angeli...
AAAI
2008
13 years 7 months ago
Lifted First-Order Belief Propagation
Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...
Parag Singla, Pedro Domingos
AAAI
1996
13 years 6 months ago
Irrelevance and Conditioning in First-Order Probabilistic Logic
First-order probabilistic logic is a powerful knowledge representation language. Unfortunately, deductive reasoning based on the standard semantics for this logic does not support...
Daphne Koller, Joseph Y. Halpern