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» Techniques for Optimization of Net Algorithms
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ICML
2004
IEEE
16 years 1 months ago
Multiple kernel learning, conic duality, and the SMO algorithm
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
Francis R. Bach, Gert R. G. Lanckriet, Michael I. ...
105
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MICAI
2005
Springer
15 years 6 months ago
Hybrid Particle Swarm - Evolutionary Algorithm for Search and Optimization
Particle Swarm Optimization (PSO) technique has proved its ability to deal with very complicated optimization and search problems. Several variants of the original algorithm have b...
Crina Grosan, Ajith Abraham, Sangyong Han, Alexand...
EGH
2003
Springer
15 years 5 months ago
An optimized soft shadow volume algorithm with real-time performance
In this paper, we present several optimizations to our previously presented soft shadow volume algorithm. Our optimizations include tighter wedges, heavily optimized pixel shader ...
Ulf Assarsson, Michael Dougherty, Michael Mounier,...
EVOW
2006
Springer
15 years 4 months ago
Evolving the Structure of the Particle Swarm Optimization Algorithms
A new model for evolving the structure of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. The model is a hybrid technique that combines a Genetic Algorithm...
Laura Diosan, Mihai Oltean
INFOCOM
2006
IEEE
15 years 6 months ago
Optimal Scheduling Algorithms for Input-Queued Switches
— The input-queued switch architecture is widely used in Internet routers, due to its ability to run at very high line speeds. A central problem in designing an input-queued swit...
Devavrat Shah, Damon Wischik