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AMAI
2008
Springer
14 years 10 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
CORR
2010
Springer
105views Education» more  CORR 2010»
14 years 7 months ago
On Designing Multicore-aware Simulators for Biological Systems
The stochastic simulation of biological systems is an increasingly popular technique in bioinformatics. It often is an enlightening technique, which may however result in being com...
Marco Aldinucci, Mario Coppo, Ferruccio Damiani, M...
TRANSCI
2010
169views more  TRANSCI 2010»
14 years 4 months ago
A Model and Algorithm for the Courier Delivery Problem with Uncertainty
We consider the Courier Delivery Problem, a variant of the Vehicle Routing Problem with time windows in which customers appear probabilistically and their service times are uncert...
Ilgaz Sungur, Yingtao Ren, Fernando Ordó&nt...
GECCO
2005
Springer
266views Optimization» more  GECCO 2005»
15 years 3 months ago
Total synthesis of algorithmic chemistries
Algorithmic Chemistries are Artificial Chemistries that aim at algorithms. In this contribution we present a new algorithm to execute Algorithmic Chemistries during evolution. Th...
Christian Lasarczyk, Wolfgang Banzhaf
MOR
2006
94views more  MOR 2006»
14 years 9 months ago
Conditional Risk Mappings
We introduce an axiomatic definition of a conditional convex risk mapping and we derive its properties. In particular, we prove a representation theorem for conditional risk mappi...
Andrzej Ruszczynski, Alexander Shapiro