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» Representing Uncertainty in RuleML
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AI
2008
Springer
13 years 6 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
IROS
2008
IEEE
111views Robotics» more  IROS 2008»
14 years 2 months ago
Mapping and planning under uncertainty in mobile robots with long-range perception
— Recent advances in self-supervised learning have enabled very long-range visual detection of obstacles and pathways (to 100 hundred meters or more). Unfortunately, the category...
Pierre Sermanet, Raia Hadsell, Marco Scoffier, Urs...
ACL
2008
13 years 9 months ago
Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management
In spoken dialogue systems, Partially Observable Markov Decision Processes (POMDPs) provide a formal framework for making dialogue management decisions under uncertainty, but effi...
James Henderson, Oliver Lemon
VLSM
2005
Springer
14 years 1 months ago
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
SYNTHESE
2008
130views more  SYNTHESE 2008»
13 years 7 months ago
Appropriateness measures: an uncertainty model for vague concepts
Abstract We argue that in the decision making process required for selecting assertible vague descriptions of an object, it is practical that communicating agents adopt an epistemi...
Jonathan Lawry