Kernel conditional clustering and kernel conditional semi-supervised learning.
Xiao HeThomas GumbschDamian RoqueiroKarsten M. BorgwardtPublished in: Knowl. Inf. Syst. (2020)
Keyphrases
- semi supervised learning
- semi supervised
- kernel machines
- unsupervised learning
- multiple kernel learning
- labeled data
- unlabeled data
- kernel methods
- machine learning
- supervised learning
- dirichlet process mixture models
- kernel function
- semi supervised classification
- learning problems
- clustering algorithm
- semi supervised learning setting
- active learning
- graph based semi supervised learning
- semi supervised clustering
- training data
- clustering method
- label propagation
- manifold regularization
- feature space
- kernel learning
- k means
- support vector
- graph construction
- domain adaptation
- co training
- learning models
- probabilistic model