696 search results - page 2 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
ILP
2005
Springer
14 years 28 days ago
2005
Springer
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...
CAI
1998
Springer
13 years 7 months ago
1998
Springer
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
SUM
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Action-probabilistic logic programs (ap-programs), a class of probabilistic logic programs, have been applied during the last few years for modeling behaviors of entities...
ML
2006
ACM
13 years 7 months ago
2006
ACM
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive manner and they aim to capture the essen...