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GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
15 years 3 months ago
GA-based parameter tuning for multi-agent systems
Joseph Haas, Maxim Peysakhov, Spiros Mancoridis
ESANN
2007
14 years 11 months ago
Optimizing kernel parameters by second-order methods
Radial basis function network (RBF) kernels are widely used for support vector machines (SVMs). But for model selection of an SVM, we need to optimize the kernel parameter and the ...
Shigeo Abe
NECO
2008
108views more  NECO 2008»
14 years 9 months ago
An SMO Algorithm for the Potential Support Vector Machine
We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...
Tilman Knebel, Sepp Hochreiter, Klaus Obermayer
SASO
2009
IEEE
15 years 4 months ago
Controlling Particle Swarm Optimization with Learned Parameters
—Controlling particle swarm optimization is typically an unintuitive task, involving a process of adjusting low-level parameters of the system that often do not have obvious corr...
Kevin Winner, Don Miner, Marie desJardins
ICPR
2000
IEEE
15 years 10 months ago
Optimal Range Segmentation Parameters through Genetic Algorithms
A wide number of algorithmsfor surjtiacesegmentationin range images have been recentlyproposed characterizedby different approaches (edgefilling, regiongrowing, ...), different su...
Luigi Cinque, Stefano Levialdi, Gianluca Pignalber...