Consistency of Lipschitz Learning with Infinite Unlabeled Data and Finite Labeled Data.
Jeff CalderPublished in: SIAM J. Math. Data Sci. (2019)
Keyphrases
- labeled data
- unlabeled data
- labeled and unlabeled data
- supervised learning
- semi supervised learning
- semi supervised
- active learning
- learning algorithm
- co training
- domain adaptation
- supervised learning algorithms
- positive examples
- prior knowledge
- semi supervised classification
- labeled training data
- labeled instances
- text classification
- multi view learning
- training data
- unlabeled images
- learning problems
- labeling effort
- sample selection bias
- class labels
- partially labeled data
- labeled examples
- learning tasks
- transfer learning
- data points
- negative examples
- unsupervised learning
- training examples
- unlabeled examples
- weakly supervised
- number of labeled examples
- label propagation
- pairwise constraints
- learning process
- semisupervised learning
- training set
- transductive svm
- fully supervised
- semi supervised learning methods
- information retrieval
- positive and negative
- multi view