Multi-class Support Vector Machines Based on Arranged Decision Graphs and Particle Swarm Optimization for Model Selection

@inproceedings{Acevedo2007MulticlassSV,
  title={Multi-class Support Vector Machines Based on Arranged Decision Graphs and Particle Swarm Optimization for Model Selection},
  author={Javier Acevedo and Saturnino Maldonado-Basc{\'o}n and Philip Siegmann and Sergio Lafuente-Arroyo and Pedro Gil-Jim{\'e}nez},
  booktitle={ICANNGA},
  year={2007}
}
The use of support vector machines for multi-category problems is still an open field to research. Most of the published works use the one-against-rest strategy, but with a one-against-one approach results can be improved. To avoid testing with all the binary classifiers there are some methods like the Decision Directed Acyclic Graph based on a decision tree. In this work we propose an optimization method to improve the performance of the binary classifiers using Particle Swarm Optimization and… CONTINUE READING