696 search results - page 14 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
AUSAI
1997
Springer
15 years 1 months ago
1997
Springer
Abstract. We compare Kripke models and hypercube systems, a simpli ed notion of Interpreted Systems, as semantic structures for reasoning about knowledge. Our method is to de ne a ...
UAI
2008
14 years 11 months ago
2008
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
IJAR
2010
14 years 8 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
ICCBR
2003
Springer
15 years 3 months ago
2003
Springer
This paper presents an algorithm called IBP that combines case-based and model-based reasoning for an interpretive CBR application, predicting the outcome of legal cases. IBP uses ...
ILP
1998
Springer
15 years 2 months ago
1998
Springer
This paper describes a new kind of language bias, S-structural indeterminate clauses, which takes into account the meaning of predicates that play a key role in the complexity of l...