The relevance of labels in semi-supervised learning depends on category structure.
Wai Keen VongAmy PerforsDaniel J. NavarroPublished in: CogSci (2014)
Keyphrases
- semi supervised learning
- label propagation
- semi supervised
- unlabeled data
- labeled data
- training data
- labeled examples
- supervised learning
- unsupervised learning
- semi supervised classification
- multi instance learning
- unlabeled examples
- unlabeled samples
- active learning
- multi label classification
- machine learning
- supervised classifiers
- graph based semi supervised learning
- partially labeled
- text categorization
- class labels
- semi supervised learning algorithms
- pairwise constraints
- labeled instances
- semi supervised learning methods
- manifold regularization
- domain adaptation
- co training
- training examples
- graph construction
- learning models
- unlabeled instances
- text mining
- training set
- information retrieval