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» Probabilistic Assumption-Based Reasoning
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ALT
2004
Springer
15 years 6 months ago
Probabilistic Inductive Logic Programming
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Luc De Raedt, Kristian Kersting
CORR
2011
Springer
193views Education» more  CORR 2011»
14 years 1 months ago
ATC Taskload Inherent to the Geometry of Stochastic 4-D Trajectory Flows with Flight Technical Errors
—A method to quantify the probabilistic controller taskload inherent to maintaining aircraft adherence to 4-D trajectories within flow corridors is presented. Taskload is here d...
Vlad Popescu, John-Paul Clarke, Karen M. Feigh, Er...
PVLDB
2008
160views more  PVLDB 2008»
14 years 9 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
92
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CIKM
2007
Springer
15 years 3 months ago
Reasoning about vague topological information
Topological information plays a fundamental role in the human perception of spatial configurations and is thereby one of the most prominent geographical features in natural langu...
Steven Schockaert, Martine De Cock
CORR
2002
Springer
132views Education» more  CORR 2002»
14 years 9 months ago
Nonmonotonic Reasoning, Preferential Models and Cumulative Logics
Many systems that exhibit nonmonotonic behavior have been described and studied already in the literature. The general notion of nonmonotonic reasoning, though, has almost always ...
Sarit Kraus, Daniel J. Lehmann, Menachem Magidor