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» Representing Uncertainty in RuleML
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AAAI
2010
13 years 9 months ago
Materializing Inferred and Uncertain Knowledge in RDF Datasets
There is a growing need for efficient and scalable semantic web queries that handle inference. There is also a growing interest in representing uncertainty in semantic web knowled...
James P. McGlothlin, Latifur R. Khan
NIPS
2008
13 years 9 months ago
Exact Convex Confidence-Weighted Learning
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
Koby Crammer, Mark Dredze, Fernando Pereira
WSC
2004
13 years 9 months ago
A Probabilistic Total System Approach to the Simulation of Complex Environmental Systems
GoldSim is a powerful and flexible Windows-based computer program for carrying out probabilistic simulations of complex systems to support management and decisionmaking in enginee...
Rick Kossik, Ian Miller
UAI
2000
13 years 9 months ago
Probabilistic State-Dependent Grammars for Plan Recognition
Techniques for plan recognition under uncertainty require a stochastic model of the plangeneration process. We introduce probabilistic state-dependent grammars (PSDGs) to represen...
David V. Pynadath, Michael P. Wellman
AIPS
1996
13 years 9 months ago
Event-Based Decompositions for Reasoning about External Change in Planners
An increasing number of planners can handle uncertainty in the domain or in action outcomes. However, less work has addressed building plans when the planner's world can chan...
Jim Blythe