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» Convergence Models of Genetic Algorithm Selection Schemes
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GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 1 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
PAMI
2006
180views more  PAMI 2006»
13 years 7 months ago
Globally Minimal Surfaces by Continuous Maximal Flows
In this paper we consider the problem of computing globally minimal continuous curves and surfaces for image segmentation and 3D reconstruction. This is solved using a maximal flo...
Ben Appleton, Hugues Talbot
EAAI
2006
123views more  EAAI 2006»
13 years 7 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
ICASSP
2008
IEEE
14 years 2 months ago
Predictive fusion coding of spatio-temporally correlated sources
This paper considers the problem of predictive fusion coding for storage of multiple spatio-temporally correlated sources so as to enable efficient selective retrieval of data fr...
Sharadh Ramaswamy, Kenneth Rose
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
14 years 8 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye