Hybrid autoencoder and classifier for label-deficient semi-supervised learning: Case study.
Rastin RastgoufardAbdulRahman AlsammanPublished in: FUSION (2016)
Keyphrases
- semi supervised learning
- multi label classification
- class labels
- unlabeled data
- labeled data
- training data
- label propagation
- semi supervised
- labeled training data
- co training
- supervised learning
- semi supervised learning methods
- unlabeled instances
- labeled and unlabeled data
- unlabeled examples
- supervised classifiers
- multi instance learning
- unlabeled samples
- machine learning
- manifold regularization
- unsupervised learning
- active learning
- text categorization
- decision trees
- semi supervised classification
- labeled samples
- training examples
- multiple kernel learning
- labeled instances
- graph based semi supervised learning
- multiple instance learning
- labeled examples
- partially labeled
- semi supervised learning algorithms
- real world
- label information
- instance selection
- transfer learning
- feature selection
- multi label
- training samples
- probabilistic model
- support vector
- learning algorithm
- sample selection bias
- discriminative models
- training instances
- metric learning
- text classification
- multi class
- data mining