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FOCI
2007
IEEE
13 years 8 months ago
Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample
Abstract-- In this paper, we empirically analyze the convergence behavior of evolutionary algorithms (evolution strategies
Hans-Georg Beyer, Bernhard Sendhoff
ICASSP
2009
IEEE
13 years 11 months ago
Sampling signals with finite rate of innovation in the presence of noise
Recently, it has been shown that it is possible to sample non-bandlimited signals that possess a limited number of degrees of freedom and uniquely reconstruct them from a finite ...
Pier Luigi Dragotti, Felix Homann
ICTAI
2009
IEEE
13 years 2 months ago
A Confidence-Based Dominance Operator in Evolutionary Algorithms for Noisy Multiobjective Optimization Problems
This paper describes a noise-aware dominance operator for evolutionary algorithms to solve the multiobjective optimization problems (MOPs) that contain noise in their objective fu...
Pruet Boonma, Junichi Suzuki
ICASSP
2008
IEEE
13 years 11 months ago
Bandlimited signal reconstruction from noisy periodic nonuniform samples in time-interleaved ADCS
In this paper, we propose a time-domain method for uniform signal reconstruction from periodic nonuniform samples of a bandlimited signal when timing-skews are known. The algorith...
Vijay Divi, Gregory W. Wornell
AI
2011
Springer
12 years 12 months ago
SampleSearch: Importance sampling in presence of determinism
The paper focuses on developing effective importance sampling algorithms for mixed probabilistic and deterministic graphical models. The use of importance sampling in such graphi...
Vibhav Gogate, Rina Dechter