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» New Semantics for Hybrid Probabilistic Programs
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ESOP
2011
Springer
12 years 9 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
NMR
2004
Springer
13 years 10 months ago
Logic programs with annotated disjunctions
Current literature offers a number of different approaches to what could generally be called “probabilistic logic programming”. These are usually based on Horn clauses. Here, ...
Joost Vennekens, Sofie Verbaeten, Maurice Bruynoog...
ICALP
2005
Springer
13 years 11 months ago
Probabilistic Polynomial-Time Semantics for a Protocol Security Logic
Abstract. We describe a cryptographically sound formal logic for proving protocol security properties without explicitly reasoning about probability, asymptotic complexity, or the ...
Anupam Datta, Ante Derek, John C. Mitchell, Vitaly...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
13 years 11 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
UM
2005
Springer
13 years 11 months ago
Exploiting Probabilistic Latent Information for the Construction of Community Web Directories
This paper improves a recently-presented approach to Web Personalization, named Community Web Directories, which applies personalization techniques to Web Directories. The Web dire...
Dimitrios Pierrakos, Georgios Paliouras