Multi-Manifold Semi-Supervised Learning.
Andrew B. GoldbergXiaojin ZhuAarti SinghZhiting XuRobert D. NowakPublished in: AISTATS (2009)
Keyphrases
- semi supervised learning
- manifold regularization
- manifold structure
- semi supervised
- unlabeled data
- labeled data
- semi supervised classification
- supervised learning
- machine learning
- label propagation
- unsupervised learning
- graph based semi supervised learning
- graph laplacian
- manifold learning
- training data
- co training
- low dimensional
- active learning
- semi supervised learning methods
- semi supervised learning algorithms
- high dimensional
- improve the classification accuracy
- learning models
- regularization framework
- learning algorithm
- transfer learning
- feature space
- graph construction
- labeled and unlabeled data
- metric learning
- maximum likelihood
- dimension reduction