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WSC
2001
14 years 11 months ago
Reducing input parameter uncertainty for simulations
Parameters of statistical distributions that are input to simulations are typically not known with certainty. For existing systems, or variations on existing systems, they are oft...
Szu Hui Ng, Stephen E. Chick
CVPR
2000
IEEE
15 years 11 months ago
Curve and Surface Reconstruction from Regular and Non-Regular Point Sets
In this paper, we address the problem of curve and surface reconstruction from sets of points. We introduce regular interpolants which are polygonal approximations of planar curve...
Edmond Boyer, Sylvain Petitjean
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
ICASSP
2009
IEEE
15 years 4 months ago
A differential geometric approach to discrete-coefficient filter design
This paper is concerned with the problem of computing a discretecoefficient approximation to a digital filter. In contrast to earlier works that have approached this problem usi...
Subramanian Ramamoorthy, Lothar Wenzel, James Nagl...
ALDT
2009
Springer
172views Algorithms» more  ALDT 2009»
15 years 4 months ago
On Multi-dimensional Envy-Free Mechanisms
Traditional performance analysis of approximation algorithms considers overall performance, while economic fairness analysis focuses on the individual performance each user receiv...
Ahuva Mu'alem