Sparse Least Squares Support Vector Machines Based on Genetic Algorithms: A Feature Selection Approach.
Pedro Hericson Machado AraújoAjalmar Rêgo da Rocha NetoPublished in: IWANN (2) (2019)
Keyphrases
- least squares support vector machine
- feature selection
- high dimension
- genetic algorithm
- ls svm
- small sample
- support vector machine
- feature space
- high dimensional
- neural network
- feature selection algorithms
- multi class
- artificial neural networks
- fuzzy logic
- support vector
- particle swarm optimization
- generalization ability
- high dimensionality
- statistical learning theory
- feature set
- dimension reduction
- sample size
- model selection
- least squares
- evolutionary algorithm
- cross validation
- correlation coefficient
- principal component analysis
- knn
- population size
- decision trees
- machine learning