Laplacian least squares twin support vector machine for semi-supervised classification.
Wei-Jie ChenYuan-Hai ShaoNai-Yang DengZhi-Lin FengPublished in: Neurocomputing (2014)
Keyphrases
- semi supervised classification
- least squares
- support vector machine
- semi supervised
- semi supervised learning
- unlabeled data
- labeled data
- manifold regularization
- multi class
- svm classifier
- training data
- support vector
- support vector machine svm
- machine learning
- pairwise constraints
- training set
- feature selection
- feature vectors
- parameter estimation
- decision boundary
- support vectors
- supervised learning
- kernel methods
- hyperplane
- supervised classification
- ls svm
- unsupervised learning
- kernel function
- data sets
- multiple kernel learning
- learning algorithm
- pairwise