Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning.
Vivien CabannesLoucas Pillaud-VivienFrancis R. BachAlessandro RudiPublished in: NeurIPS (2021)
Keyphrases
- semi supervised learning
- graph laplacian
- regularization framework
- manifold regularization
- semi supervised
- unlabeled data
- labeled data
- multi view learning
- manifold structure
- labeled and unlabeled data
- supervised learning
- kernel machines
- semi supervised classification
- unsupervised learning
- learning models
- machine learning
- training data
- co training
- learning problems
- semi supervised learning algorithms
- semi supervised learning methods
- data dependent
- transfer learning
- active learning
- label propagation
- metric learning
- sparse coding
- graph based semi supervised learning
- regularization parameter