Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning.
Saúl Calderón RamírezDiego Murillo-HernandezKevin Rojas-SalazarLuis-Alexander Calvo-ValverdShengxiang YangArmaghan MoemeniDavid A. ElizondoEzequiel López-RubioMiguel A. Molina-CabelloPublished in: IJCNN (2021)
Keyphrases
- semi supervised learning
- supervised learning
- semi supervised classification
- improve the classification accuracy
- semi supervised
- co training
- unsupervised learning
- labeled data
- unlabeled data
- labeled and unlabeled data
- uci datasets
- transductive support vector machine
- machine learning
- semi supervised learning algorithms
- supervised learning algorithms
- active learning
- classification accuracy
- class labels
- instance selection
- unlabeled samples
- text categorization
- pattern recognition
- transfer learning
- decision trees
- label propagation
- manifold regularization
- text classification
- labeled instances
- training data
- training set
- opinion detection
- labeled examples
- graph based semi supervised learning
- data sets
- supervised classification
- support vector machine
- image classification
- domain adaptation
- classification models
- incremental learning
- information retrieval
- training examples
- training samples
- natural language processing