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ICLP
2010
Springer
15 years 9 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
IM
2003
15 years 7 months ago
Probabilistic Event-driven Fault Diagnosis Through Incremental Hypothesis Updating
Abstract: A probabilistic event-driven fault localization technique is presented, which uses a symptom-fault map as a fault propagation model. The technique isolates the most proba...
Malgorzata Steinder, Adarshpal S. Sethi
AUTOMATICA
2008
75views more  AUTOMATICA 2008»
15 years 6 months ago
Computations of probabilistic output admissible set for uncertain constrained systems
Abstract-- This paper considers uncertain constrained systems, and develops a method for computing a probabilistic output admissible (POA) set which is a set of initial states prob...
Takeshi Hatanaka, Kiyotsugu Takaba
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
Metric Structures and Probabilistic Computation
Abstract. Continuous first-order logic is used to apply model-theoretic analysis to analytic structures (e.g. Hilbert spaces, Banach spaces, probability spaces, etc.). Classical co...
Wesley Calvert
ECCC
2006
88views more  ECCC 2006»
15 years 6 months ago
On Probabilistic versus Deterministic Provers in the Definition of Proofs Of Knowledge
Abstract. This article points out a gap between two natural formulations of the concept of a proof of knowledge, and shows that in all natural cases (e.g., NP-statements) this gap ...
Mihir Bellare, Oded Goldreich