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» Representing Uncertainty in RuleML
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ICML
2007
IEEE
14 years 8 months ago
Winnowing subspaces
We generalize the Winnow algorithm for learning disjunctions to learning subspaces of low rank. Subspaces are represented by symmetric projection matrices. The online algorithm ma...
Manfred K. Warmuth
IROS
2009
IEEE
172views Robotics» more  IROS 2009»
14 years 2 months ago
Modeling mobile robot motion with polar representations
— This article compares several parameterizations and motion models for improving the estimation of the nonlinear uncertainty distribution produced by robot motion. In previous w...
Joseph Djugash, Sanjiv Singh, Ben Grocholsky
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
14 years 2 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
SEMWEB
2009
Springer
14 years 2 months ago
DSSim Results for OAEI 2009
The growing importance of ontology mapping on the Semantic Web has highlighted the need to manage the uncertain nature of interpreting semantic meta data represented by heterogeneo...
Miklos Nagy, Maria Vargas-Vera, Piotr Stolarski
TARK
2009
Springer
14 years 2 months ago
A logical characterization of iterated admissibility
Brandenburger, Friedenberg, and Keisler provide an epistemic characterization of iterated admissibility (i.e., iterated deletion of weakly dominated strategies) where uncertainty ...
Joseph Y. Halpern, Rafael Pass