Laplacian p-norm proximal support vector machine for semi-supervised classification.
Junyan TanLing ZhenNaiyang DengZhiqiang ZhangPublished in: Neurocomputing (2014)
Keyphrases
- semi supervised classification
- support vector machine
- semi supervised learning
- binary classification
- semi supervised
- unlabeled data
- multi class
- support vector
- svm classifier
- labeled data
- manifold regularization
- decision boundary
- training data
- feature vectors
- pairwise constraints
- machine learning
- feature selection
- support vector machine svm
- feature space
- hyperplane
- co training
- supervised learning
- support vectors
- training set
- kernel function
- knn
- learning algorithm
- active learning
- nonnegative matrix factorization
- kernel methods
- data sets
- labeled and unlabeled data
- supervised classification
- probabilistic model