Two-class support vector machine with new kernel function based on paths of features for predicting chemical activity.
Ahmed H. Abu El-AttaAboul Ella HassanienPublished in: Inf. Sci. (2017)
Keyphrases
- kernel function
- support vector machine
- feature space
- svm classifier
- svm classification
- feature set
- kernel methods
- feature vectors
- support vector
- polynomial kernels
- input space
- reproducing kernel hilbert space
- support vector regression
- hyperplane
- kernel discriminant analysis
- support vector machine svm
- feature extraction
- kernel principal component analysis
- high dimensional feature space
- positive definite
- support vectors
- image classification
- gaussian kernels
- tree kernels
- kernel machines
- high dimensional
- multiple kernel learning
- decision boundary
- classification accuracy
- multi class
- image features
- reduced set
- classification method
- kernel pca
- training data
- gaussian kernel
- radial basis function
- principal component analysis
- dimensionality reduction
- linear combination
- neural network