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CIE
2009
Springer
14 years 2 months ago
Stochastic Programs and Hybrid Automata for (Biological) Modeling
We present a technique to associate to stochastic programs written in stochastic Concurrent Constraint Programming a semantics in terms of a lattice of hybrid automata. The aim of ...
Luca Bortolussi, Alberto Policriti
CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 7 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
APJOR
2010
112views more  APJOR 2010»
13 years 7 months ago
Sample Average Approximation Methods for a Class of Stochastic Variational inequality Problems
In this paper we apply the well known sample average approximation (SAA) method to solve a class of stochastic variational inequality problems (SVIPs). We investigate the existenc...
Huifu Xu
AMAI
2008
Springer
13 years 7 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens