Assessing the Suitability of Semi-Supervised Learning Datasets using Item Response Theory.
Teodor FredrikssonDavid Issa MattosJan BoschHelena Holmström OlssonPublished in: SEAA (2021)
Keyphrases
- semi supervised learning
- uci datasets
- semi supervised
- item response theory
- labeled data
- unlabeled data
- semi supervised learning methods
- machine learning
- supervised learning
- unsupervised learning
- label propagation
- co training
- student model
- active learning
- manifold regularization
- semi supervised classification
- graph based semi supervised learning
- semi supervised learning algorithms
- transfer learning
- labeled examples
- labeled and unlabeled data
- improve the classification accuracy
- training data
- domain adaptation
- learning models
- pairwise
- data sets
- domain knowledge
- class labels
- opinion detection