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GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 8 months 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...
COLOGNETWENTE
2008
15 years 6 months ago
Reformulations in Mathematical Programming: Definitions
Abstract. A reformulation of a mathematical program is a formulation which shares some properties with, but is in some sense better than, the original program. Reformulations are i...
Leo Liberti
NIPS
2007
15 years 6 months ago
Learning with Tree-Averaged Densities and Distributions
We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density ...
Sergey Kirshner
AI
2010
Springer
15 years 5 months ago
Updating action domain descriptions
How can an intelligent agent update her knowledge base about an action domain, relative to some conditions (possibly obtained from earlier observations)? We study this question in...
Thomas Eiter, Esra Erdem, Michael Fink, Ján...
TVCG
2008
125views more  TVCG 2008»
15 years 4 months ago
Generic Remeshing of 3D Triangular Meshes with Metric-Dependent Discrete Voronoi Diagrams
In this paper, we propose a generic framework for 3D surface remeshing. Based on a metric-driven Discrete Voronoi Diagram construction, our output is an optimized 3D triangular mes...
Sébastien Valette, Jean-Marc Chassery, R&ea...