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» Extending Markov Logic to Model Probability Distributions in...
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DEBS
2010
ACM
13 years 11 months ago
Predictive publish/subscribe matching
A new publish/subscribe capability is presented: the ability to predict the likelihood that a subscription will be matched at some point in the future. Composite subscriptions con...
Vinod Muthusamy, Haifeng Liu, Hans-Arno Jacobsen
UAI
1993
13 years 9 months ago
Probabilistic Assumption-Based Reasoning
In this paper the classical propositional assumption-based model is extended to incorporate probabilities for the assumptions. Then the whole model is placed into the framework of...
Jürg Kohlas, Paul-André Monney
ENTCS
2006
140views more  ENTCS 2006»
13 years 7 months ago
Stochastic Ambient Calculus
Mobile Ambients (MA) have acquired a fundamental role in modelling mobility in systems with mobile code and mobile devices, and in computation over administrative domains. We pres...
Maria Grazia Vigliotti, Peter G. Harrison
DAGSTUHL
2007
13 years 9 months ago
Logical Particle Filtering
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack ...
IJCAI
2001
13 years 9 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell