A Neural Network for Semi-Supervised Learning on Manifolds.
Alexander GenkinAnirvan M. SenguptaDmitri B. ChklovskiiPublished in: CoRR (2019)
Keyphrases
- semi supervised learning
- neural network
- manifold structure
- semi supervised
- unlabeled data
- labeled data
- semi supervised classification
- training data
- supervised learning
- unsupervised learning
- manifold learning
- machine learning
- label propagation
- co training
- active learning
- manifold regularization
- graph based semi supervised learning
- semi supervised learning algorithms
- information retrieval
- semi supervised learning methods
- graph construction
- transfer learning
- domain adaptation
- geometric structure
- euclidean space
- labeled and unlabeled data
- high dimensional
- data analysis
- high dimensional data
- unlabeled samples
- regularization framework
- multi view learning
- low dimensional
- training set