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» On the Decidability of Functional Uncertainty
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GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
14 years 10 days ago
A Bayesian approach to learning classifier systems in uncertain environments
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 ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
ECSQARU
1995
Springer
14 years 7 days ago
Parametric Structure of Probabilities in Bayesian Networks
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...
Enrique Castillo, José Manuel Gutiér...
WSC
2008
13 years 11 months ago
Stochastic kriging for simulation metamodeling
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...
Bruce E. Ankenman, Barry L. Nelson, Jeremy Staum
IJRR
2006
119views more  IJRR 2006»
13 years 8 months ago
Predicting the Performance of Cooperative Simultaneous Localization and Mapping (C-SLAM)
In this paper we study the time evolution of the position estimates' covariance in Cooperative Simultaneous Localization and Mapping (C-SLAM), and obtain analytical upper boun...
Anastasios I. Mourikis, Stergios I. Roumeliotis
TLCA
2007
Springer
14 years 2 months ago
Polynomial Size Analysis of First-Order Functions
We present a size-aware type system for first-order shapely function definitions. Here, a function definition is called shapely when the size of the result is determined exactly...
Olha Shkaravska, Ron van Kesteren, Marko C. J. D. ...