A novel hybrid genetic algorithm and Simulated Annealing for feature selection and kernel optimization in support vector regression.
Jiansheng WuZusong LuLong JinPublished in: IRI (2012)
Keyphrases
- support vector regression
- kernel learning
- support vector
- kernel function
- support vector classification
- feature selection
- genetic algorithm and simulated annealing
- support vector machine
- feature space
- regression model
- kernel methods
- hybrid model
- optimization algorithm
- feature set
- optimization problems
- neural network
- feature extraction
- machine learning
- kernel matrix
- multiple kernel
- singular spectrum analysis
- global optimization
- loss function
- training data
- data mining
- multiple kernel learning
- support vector machine svm
- computer vision
- genetic algorithm