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ICLP
2010
Springer
13 years 11 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
FLAIRS
2008
13 years 10 months ago
A New Approach to Model-Based Diagnosis Using Probabilistic Logic
We describe a new approach to model construction using transfer function diagrams that are consequently mapped into generalized loopy logic, a first-order, Turing-complete stochas...
Nikita A. Sakhanenko, Roshan Rammohan, George F. L...
COORDINATION
2008
Springer
13 years 9 months ago
From Flow Logic to Static Type Systems for Coordination Languages
Abstract. Coordination languages are often used to describe open ended systems. This makes it challenging to develop tools for guaranteeing security of the coordinated systems and ...
Rocco De Nicola, Daniele Gorla, René Rydhof...
UAI
2008
13 years 9 months ago
Sampling First Order Logical Particles
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
Hannaneh Hajishirzi, Eyal Amir
DLOG
1996
13 years 9 months ago
Description Logic as Core Machinery for the Automatic Generation of Multilingual Technical Documents
Our project aims at the automatic generation of multilingual text for product maintenance and documentation from a structured knowledge representation. The language independent re...
Thorsten Liebig, Dietmar Rösner