Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes.
Mingyuan ZhaoChong FuLuping JiKe TangMingtian ZhouPublished in: Expert Syst. Appl. (2011)
Keyphrases
- parameter optimization
- genetic algorithm
- support vector
- feature selection
- genetic algorithm ga
- support vector machine
- differential evolution
- hyperparameters
- feature ranking
- simulated annealing
- genetic operators
- feature set
- cross validation
- feature subset
- evolutionary algorithm
- artificial neural networks
- fuzzy logic
- fitness function
- neural network
- multi objective
- parameter estimation
- model selection
- genetic programming
- population size
- mutation operator
- radial basis function
- classification accuracy
- crossover and mutation
- crossover operator
- generalization ability
- least squares
- feature vectors
- closed form
- particle swarm optimization
- initial population
- high dimensional
- machine learning