Negative sampling in semi-supervised learning.
John ChenVatsal ShahAnastasios KyrillidisPublished in: CoRR (2019)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- machine learning
- random sampling
- supervised learning
- unsupervised learning
- positive and negative
- semi supervised classification
- active learning
- learning problems
- manifold regularization
- training data
- transfer learning
- multi view semi supervised learning
- semi supervised learning algorithms
- labeled examples
- regularization framework
- semi supervised learning methods
- co training
- domain adaptation
- labeled and unlabeled data
- improve the classification accuracy
- sample size
- decision trees
- multiple instance learning
- learning models
- data sets
- information retrieval
- graph based semi supervised learning