A kernel-free quadratic surface support vector machine for semi-supervised learning.
Xin YanYanqin BaiShu-Cherng FangJian LuoPublished in: J. Oper. Res. Soc. (2016)
Keyphrases
- semi supervised learning
- support vector machine
- multiple kernel learning
- kernel function
- semi supervised
- kernel methods
- kernel machines
- training data
- machine learning
- unlabeled data
- labeled data
- feature space
- support vector
- unsupervised learning
- pairwise
- supervised learning
- co training
- semi supervised classification
- surface reconstruction
- manifold regularization
- graph based semi supervised learning
- multi class
- three dimensional
- label propagation
- kernel learning
- learning problems
- transfer learning
- d objects
- learning models
- decision boundary
- labeled and unlabeled data
- feature vectors
- svm classifier
- knn
- semi supervised learning algorithms
- data sets
- semi supervised support vector machines
- reproducing kernel hilbert space
- kernel matrix
- support vectors
- k nearest neighbor
- feature selection
- maximum margin
- support vector machine svm
- classification accuracy
- high dimensional
- learning algorithm