A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification.
Mingcai ChenYu ZhaoZhonghuang WangBing HeJianhua YaoPublished in: IJCAI (2023)
Keyphrases
- supervised learning
- reinforcement learning
- learning process
- sequence classification
- learning systems
- learning algorithm
- active learning
- unsupervised learning
- support vector
- pattern recognition
- artificial immune system
- incremental learning
- bayesian networks
- multi label learning
- image classification
- anomaly detection
- class labels
- model selection
- structured output
- prior knowledge
- pairwise
- label ranking
- disease diagnosis
- labeling effort