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» Unifying Logical and Probabilistic Reasoning
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DLOG
2011
14 years 1 months ago
On the Problem of Weighted Max-DL-SAT and its Application to Image Labeling
Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
Stefan Scheglmann, Carsten Saathoff, Steffen Staab
FLAIRS
2008
14 years 12 months ago
A First-Order Bayesian Tool for Probabilistic Ontologies
One of the major weaknesses of current research on the Semantic Web (SW) is the lack of proper means to represent and reason with uncertainty. A number of recent efforts from the ...
Paulo Cesar G. da Costa, Marcelo Ladeira, Rommel N...
CVPR
2011
IEEE
14 years 5 months ago
Multi-agent event recognition in structured scenarios
We present a framework for the automatic recognition of complex multi-agent events in settings where structure is imposed by rules that agents must follow while performing activit...
Vlad Morariu, Larry Davis
90
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ECSQARU
2009
Springer
14 years 7 months ago
Soft Constraints Processing over Divisible Residuated Lattices
We claim that divisible residuated lattices (DRLs) can act as a unifying evaluation framework for soft constraint satisfaction problems (soft CSPs). DRLs form the algebraic semanti...
Simone Bova
RR
2010
Springer
14 years 8 months ago
Defeasibility in Answer Set Programs via Argumentation Theories
Defeasible reasoning has been studied extensively in the last two decades and many different and dissimilar approaches are currently on the table. This multitude of ideas has made...
Hui Wan, Michael Kifer, Benjamin N. Grosof