Sciweavers

411 search results - page 14 / 83
» Representing Uncertainty in RuleML
Sort
View
CIMCA
2005
IEEE
14 years 1 months ago
OntoBayes: An Ontology-Driven Uncertainty Model
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
Yi Yang, Jacques Calmet
IJAR
2008
108views more  IJAR 2008»
13 years 7 months ago
Extending uncertainty formalisms to linear constraints and other complex formalisms
Linear constraints occur naturally in many reasoning problems and the information that they represent is often uncertain. There is a difficulty in applying AI uncertainty formalis...
Nic Wilson
EOR
2010
93views more  EOR 2010»
13 years 8 months ago
Two-stage flexible-choice problems under uncertainty
A significant input-data uncertainty is often present in practical situations. One approach to coping with this uncertainty is to describe the uncertainty with scenarios. A scenar...
Jurij Mihelic, Amine Mahjoub, Christophe Rapine, B...
SIAMJO
2008
85views more  SIAMJO 2008»
13 years 7 months ago
Explicit Reformulations for Robust Optimization Problems with General Uncertainty Sets
We consider a rather general class of mathematical programming problems with data uncertainty, where the uncertainty set is represented by a system of convex inequalities. We prove...
Igor Averbakh, Yun-Bin Zhao
ML
2006
ACM
122views Machine Learning» more  ML 2006»
13 years 7 months ago
PRL: A probabilistic relational language
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 ...
Lise Getoor, John Grant