A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification.
Mingcai ChenYu ZhaoZhonghuang WangBing HeJianhua YaoPublished in: CoRR (2023)
Keyphrases
- learning process
- supervised learning
- pattern recognition
- learning algorithm
- incremental learning
- unsupervised learning
- reinforcement learning
- decision trees
- class labels
- artificial immune
- label ranking
- multi label learning
- classification models
- learning tasks
- classification method
- prior knowledge
- training set
- machine learning algorithms
- anomaly detection
- classification accuracy
- multi label classification
- discriminative learning
- structured output
- feature extraction
- machine learning