Optimizing Weighted Kernel Function for Support Vector Machine by Genetic Algorithm.
Ha-Nam NguyenSyng-Yup OhnSoo-Hoan ChaeDong Ho SongInbok LeePublished in: MICAI (2006)
Keyphrases
- kernel function
- support vector machine
- genetic algorithm
- support vector
- kernel methods
- svm classifier
- input space
- feature space
- support vector regression
- multi class
- support vectors
- svm classification
- support vector machine svm
- machine learning
- high dimensional feature space
- kernel matrix
- positive definite
- k nearest neighbor
- training set
- kernel parameters
- kernel learning
- polynomial kernels
- optimal parameters
- decision boundary
- hyperplane
- kernel machines
- gaussian kernels
- generalization ability
- training data
- high dimensional
- knn
- neural network
- feature selection
- kernel trick
- feature vectors
- feature set
- positive semidefinite
- multiple kernel
- artificial neural networks
- ls svm
- kernel pca
- genetic algorithm ga
- reproducing kernel hilbert space
- learning problems
- multiple kernel learning
- metric learning