Semisupervised Ordinal Regression Based on Empirical Risk Minimization.
Taira TsuchiyaNontawat CharoenphakdeeIssei SatoMasashi SugiyamaPublished in: Neural Comput. (2021)
Keyphrases
- empirical risk minimization
- semi supervised
- statistical learning theory
- uniform convergence
- gaussian process
- empirical risk
- rates of convergence
- vc dimension
- phase transition
- computationally tractable
- labeled data
- kernel machines
- generalization bounds
- semi supervised learning
- unlabeled data
- pairwise
- loss function
- machine learning
- learning rate
- decision function
- sample size
- supervised learning
- lower bound