Particle swarm optimization for linear support vector machines based classifier selection

@inproceedings{Garsva2014ParticleSO,
  title={Particle swarm optimization for linear support vector machines based classifier selection},
  author={Gintautas Garsva and Paulius Danenas},
  year={2014}
}
Particle swarm optimization is a metaheuristic technique widely applied to solve various optimization problems as well as parameter selection problems for various classification techniques. This paper presents an approach for linear support vector machines classifier optimization combining its selection from a family of similar classifiers with parameter optimization. Experimental results indicate that proposed heuristics can help obtain competitive or even better results compared to similar… CONTINUE READING

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