101 search results - page 1 / 21 » CLP(BN): Constraint Logic Programming for Probabilistic Know... |
UAI
2003
13 years 6 months ago
2003
Abstract. In Datalog, missing values are represented by Skolem constants. More generally, in logic programming missing values, or existentially quantified variables, are represent...
LANMR
2004
13 years 6 months ago
2004
Hybrid probabilistic programs framework [5] is a variation of probabilistic annotated logic programming approach, which allows the user to explicitly encode the available knowledge...
IJCAI
2007
13 years 6 months ago
2007
P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various ad...
ECAI
1998
Springer
13 years 8 months ago
1998
Springer
We present probabilistic logic programming under inheritance with overriding. This approach is based on new notions of entailment for reasoning with conditional constraints, which...
AAAI
2008
13 years 7 months ago
2008
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...