16 search results - page 1 / 4 » Approximate inference for first-order probabilistic language... |
UAI
2008
15 years 9 days ago
2008
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
107
Voted
AAAI
2012
13 years 1 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...
113
Voted
AAAI
2011
13 years 11 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...
AIPS
2007
15 years 1 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...
126
Voted
AAAI
1996
15 years 6 days ago
1996
First-order probabilistic logic is a powerful knowledge representation language. Unfortunately, deductive reasoning based on the standard semantics for this logic does not support...