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Bayesian programming

Bayesian programming is a formalism and a methodology to specify probabilistic models and solve problems when less than the necessary information is… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
There are a variety of dangerous situations that elementary school students encounter when they commute to their school. Given… 
2015
2015
Large scale assessment studies typically aim at investigating the relationship between persons competencies and explaining… 
2012
2012
In this paper, naive Bayesian and C4.5 Decision Tree Classifiers(DTC) are successively applied on materials informatics to… 
2011
2011
In this paper we present a novel approach for automatic recognition of ring worm skin disease based on LBP (Local Binary Pattern… 
2009
2009
Until recently, the use of Bayesian inference in population genetics was limited to a few cases because for many realistic… 
2006
2006
We consider the problem of efficient mechanism design for multilateral trading of multiple goods with independent private types… 
2005
2005
In this paper we present AVATAR, a recommender of personalized TV contents, for which an open multi-agent architecture is… 
Review
2003
Review
2003
In this paper, Bayesian hierarchical modeling techniques are used to identify and rank hazardous intersections for bicycles in… 
1999
1999
Convex sets of probability distributions are also called credal sets. They generalize probability theory with special regard to… 
1995
1995
The problem of estimating the number of cisoids in colored noise is addressed. It is assumed that the noise can be modeled by an…