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ICLP
2010
Springer
15 years 1 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
14 years 11 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
CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 10 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»
14 years 10 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
ML
2008
ACM
100views Machine Learning» more  ML 2008»
14 years 10 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...