67 search results - page 4 / 14 » Logical Bayesian Networks and Their Relation to Other Probab... |
COLING
2008
13 years 10 months ago
2008
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
KI
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
ILP
2000
Springer
14 years 4 days ago
2000
Springer
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
IDA
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
DLOG
2003
13 years 10 months ago
2003
In this chapter, we are concerned with the relationship between Description Logics and other formalisms, regardless of whether they were designed for knowledge representation issu...