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CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 11 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
APWEB
2006
Springer
13 years 11 months ago
Providing an Uncertainty Reasoning Service for Semantic Web Application
In the semantic web context,the formal representation of knowledge is not resourceful while the informal one with uncertainty prevails. In order to provide an uncertainty reasoning...
Lei Li, Qiaoling Liu, Yunfeng Tao, Lei Zhang, Jian...
NMR
2004
Springer
14 years 24 days ago
A probabilistic approach to default reasoning
A logic is defined which in addition to propositional calculus contains several types of probabilistic operators which are applied only to propositional formulas. For every s ∈...
Miodrag Raskovic, Zoran Ognjanovic, Zoran Markovic
ICSE
2008
IEEE-ACM
14 years 8 months ago
A verification system for timed interval calculus
Timed Interval Calculus (TIC) is a highly expressive set-based notation for specifying and reasoning about embedded real-time systems. However, it lacks mechanical proving support...
Chunqing Chen, Jin Song Dong, Jun Sun 0001
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