Manifold Regularized Proximal Support Vector Machine via Generalized Eigenvalue.
Jun LiangFeiyun ZhangXiao-xia XiongXiaobo ChenLong ChenGuo-hui LanPublished in: Int. J. Comput. Intell. Syst. (2016)
Keyphrases
- support vector machine
- feature space
- multi class
- feature vectors
- svm classifier
- support vector
- support vector machine svm
- manifold learning
- wavelet kernel
- training data
- machine learning
- hyperplane
- training set
- least squares
- manifold structure
- low dimensional
- svm classification
- high classification accuracy
- small sample
- euclidean space
- fisher information
- decision boundary
- geodesic distance
- stock market prediction
- multi class support vector machines
- k nearest neighbor
- dimensionality reduction
- high dimensional
- feature selection
- generalization ability
- support vector regression
- kernel methods
- covariance matrix
- classification method
- regularization method
- soft margin
- objective function
- learning algorithm
- data sets