Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification.
Emrecan OzdoganNorman C. SabinThomas GracieSteven PortleyMali HalacThomas CoardWilliam TrimbleBahrad SokhansanjGail RosenRobi PolikarPublished in: SSCI (2021)
Keyphrases
- semi supervised learning
- supervised learning
- improve the classification accuracy
- semi supervised classification
- semi supervised
- unlabeled data
- co training
- unsupervised learning
- transductive support vector machine
- uci datasets
- labeled data
- semi supervised learning algorithms
- machine learning
- labeled and unlabeled data
- unlabeled samples
- incremental learning
- training data
- class labels
- graph based semi supervised learning
- classification accuracy
- label propagation
- supervised learning algorithms
- decision trees
- text categorization
- pattern recognition
- graph construction
- active learning
- supervised classification
- multi label classification
- text classification
- feature extraction
- learning models
- support vector
- manifold regularization
- feature selection
- data sets
- decision boundary
- gene expression
- image classification
- dimension reduction
- learning tasks
- kernel methods
- transfer learning
- knn
- multi view
- support vector machine