Scalable Semi-Supervised SVM via Triply Stochastic Gradients.
Xiang GengBin GuXiang LiWanli ShiGuansheng ZhengHeng HuangPublished in: CoRR (2019)
Keyphrases
- semi supervised
- support vector machine svm
- support vector
- semi supervised support vector machines
- fully labeled
- svm classifier
- semi supervised learning
- support vector machine
- knn
- unlabeled data
- kernel machines
- labeled data
- multi class
- classification algorithm
- training set
- training data
- pairwise
- training process
- unsupervised learning
- multi view
- monte carlo
- semi supervised clustering
- subspace learning
- machine learning
- feature vectors
- pairwise constraints
- ls svm
- supervised learning
- active learning
- generalization ability
- decision boundary
- hyperplane
- multi class svm
- feature selection
- co training
- labeled examples
- kernel methods
- labeled and unlabeled data
- feature space
- clustering algorithm