A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets.
Jair CervantesDe-Shuang HuangFarid García-LamontAsdrúbal López ChauPublished in: ICIC (1) (2014)
Keyphrases
- hybrid algorithm
- data sets
- support vector
- particle swarm optimization
- classification accuracy
- simulated annealing
- hybrid method
- artificial bee colony algorithm
- generalization ability
- tabu search
- particle swarm optimization pso
- particle swarm algorithm
- ant algorithm
- computational complexity
- standard test problems
- support vectors
- ant colony optimization algorithm
- optimal solution
- biogeography based optimization
- hybrid optimization algorithm
- large margin classifiers
- imperialist competitive algorithm
- genetic algorithm
- hybrid particle swarm optimization
- learning machines
- optimization method
- differential evolution
- kernel function
- nonlinear integer programming
- support vector machine