Semi-supervised regression with manifold: A Bayesian deep kernel learning approach.
Lu XuChen HuKuizhi MeiPublished in: Neurocomputing (2022)
Keyphrases
- kernel learning
- semi supervised
- regression algorithm
- pairwise constraints
- support vector regression
- gaussian processes
- semi supervised learning
- gaussian process
- pairwise
- labeled data
- supervised learning
- unlabeled data
- active learning
- regression model
- unsupervised learning
- kernel function
- low dimensional
- labeled and unlabeled data
- metric learning
- multiple kernel learning
- high dimensional
- maximum likelihood
- machine learning
- svm classifier
- support vector machine
- reproducing kernel hilbert space
- feature extraction
- face recognition