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» Theory and Applications of Robust Optimization
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CSDA
2010
99views more  CSDA 2010»
14 years 12 months ago
Robust M-estimation of multivariate GARCH models
In empirical work on multivariate financial time series, it is common to postulate a Multivariate GARCH model. We show that the popular Gaussian quasi-maximum likelihood estimator...
Kris Boudt, Christophe Croux
KES
1998
Springer
15 years 4 months ago
Properties of robust solution searching in multi-dimensional space with genetic algorithms
-A large number of studies on Genetic Algorithms (GAs) emphasize finding a globally optimal solution. Some other investigations have also been made for detecting multiple solutions...
Shigeyoshi Tsutsui, Lakhmi C. Jain
CVPR
2007
IEEE
16 years 1 months ago
Optimizing Distribution-based Matching by Random Subsampling
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
Alex Po Leung, Shaogang Gong
MOBILIGHT
2010
14 years 9 months ago
Robust Wireless Network Coding - An Overview
Network Coding (NC) has witnessed a tremendous upsurge in interest and activities in recent years, both in academia and industry. Indeed, since the pioneering publication of Ahlswe...
Marco Di Renzo, Lana Iwaza, Michel Kieffer, Pierre...
EUROGP
2001
Springer
110views Optimization» more  EUROGP 2001»
15 years 4 months ago
General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
Abstract. In this paper a new, general and exact schema theory for genetic programming is presented. The theory includes a microscopic schema theorem applicable to crossover operat...
Riccardo Poli