Correlated random features for fast semi-supervised learning.
Brian McWilliamsDavid BalduzziJoachim M. BuhmannPublished in: NIPS (2013)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- semi supervised classification
- unsupervised learning
- supervised learning
- learning models
- machine learning
- labeled training data
- discriminative models
- active learning
- graph based semi supervised learning
- improve the classification accuracy
- learning problems
- co training
- supervised learning algorithms
- classification accuracy
- feature set
- semi supervised learning methods
- training data
- label propagation
- graph construction
- manifold regularization
- feature extraction
- unlabeled samples
- regularization framework
- transfer learning
- prior knowledge
- feature vectors
- feature space