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IDA
2005
Springer
14 years 1 months ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
LPNMR
2004
Springer
14 years 25 days ago
Probabilistic Reasoning With Answer Sets
This paper develops a declarative language, P-log, that combines logical and probabilistic arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while c...
Chitta Baral, Michael Gelfond, J. Nelson Rushton
ACL
2012
11 years 10 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
FUIN
2010
130views more  FUIN 2010»
13 years 6 months ago
SLGAD Resolution for Inference on Logic Programs with Annotated Disjunctions
Abstract. Logic Programs with Annotated Disjunctions (LPADs) allow to express probabilistic information in logic programming. The semantics of an LPAD is given in terms of the well...
Fabrizio Riguzzi
LICS
2003
IEEE
14 years 23 days ago
Model checking for probability and time: from theory to practice
Probability features increasingly often in software and hardware systems: it is used in distributed co-ordination and routing problems, to model fault-tolerance and performance, a...
Marta Z. Kwiatkowska