13784 search results - page 10 / 2757 » On Computing Functions with Uncertainty |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
ECSQARU
1995
Springer
13 years 11 months ago
1995
Springer
The paper presents a method for uncertainty propagation in Bayesian networks in symbolic, as opposed to numeric, form. The algebraic structure of probabilities is characterized. Th...
WSC
2008
13 years 9 months ago
2008
We extend the basic theory of kriging, as applied to the design and analysis of deterministic computer experiments, to the stochastic simulation setting. Our goal is to provide fl...
RSFDGRC
2011
Springer
12 years 10 months ago
2011
Springer
Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In interval comp...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Planning in single-agent models like MDPs and POMDPs can be carried out by resorting to Q-value functions: a (near-) optimal Q-value function is computed in a recursive manner by ...