Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization.
Taira TsuchiyaNontawat CharoenphakdeeIssei SatoMasashi SugiyamaPublished in: CoRR (2019)
Keyphrases
- empirical risk minimization
- semi supervised
- gaussian process
- statistical learning theory
- semi supervised learning
- empirical risk
- unlabeled data
- vc dimension
- uniform convergence
- labeled data
- kernel machines
- pairwise
- generalization bounds
- supervised learning
- rates of convergence
- active learning
- learning problems
- phase transition
- computationally tractable
- pairwise constraints
- data dependent
- labeled and unlabeled data
- decision function
- generalization ability
- unsupervised learning
- fixed number
- machine learning
- kernel methods
- training samples
- special case
- feature vectors
- support vector