411 search results - page 27 / 83 » Representing Uncertainty in RuleML |
JMLR
2010
13 years 2 months ago
2010
Logic-based probabilistic models (LBPMs) enable us to handle problems with uncertainty succinctly thanks to the expressive power of logic. However, most of LBPMs have restrictions...
EDBT
2011
ACM
12 years 11 months ago
2011
ACM
This demonstration paper presents a probabilistic XML data merging tool, that represents the outcome of semi-structured document integration as a probabilistic tree. The system is...
AAMAS
2012
Springer
12 years 3 months ago
2012
Springer
Recent research has shown that virtual agents expressing empathic emotions toward users have the potentiality to enhance human-machine interaction. To provide empathic capabilitie...
ISIPTA
1999
IEEE
14 years 5 days ago
1999
IEEE
Belief functions, possibility measures and Choquet capacities of order 2, which are special kinds of coherent upper or lower probability, are amongst the most popular mathematical...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...