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CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
15 years 4 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
SIAMSC
2008
147views more  SIAMSC 2008»
14 years 10 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
SIAMIS
2010
190views more  SIAMIS 2010»
14 years 5 months ago
Analysis and Generalizations of the Linearized Bregman Method
This paper analyzes and improves the linearized Bregman method for solving the basis pursuit and related sparse optimization problems. The analysis shows that the linearized Bregma...
Wotao Yin
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
15 years 2 months ago
A comparison of evaluation methods in coevolution
In this research, we compare four different evaluation methods in coevolution on the Majority Function problem. The size of the problem is selected such that an evaluation against...
Ting-Shuo Yo, Edwin D. de Jong
88
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IJON
2011
186views more  IJON 2011»
14 years 1 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia