SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training.
Qizhi PeiLijun WuJinhua ZhuYingce XiaShufang XieTao QinHaiguang LiuTie-Yan LiuPublished in: CoRR (2022)
Keyphrases
- multi task
- semi supervised
- multi task learning
- multitask learning
- supervised learning
- learning tasks
- metric learning
- pairwise
- multiple tasks
- transfer learning
- multi class
- learning problems
- labeled data
- feature selection
- semi supervised learning
- sparse learning
- active learning
- gaussian processes
- training set
- training examples
- classification accuracy
- learning algorithm
- theoretical analysis
- unlabeled data
- unsupervised learning
- text classification
- pairwise constraints
- labeled and unlabeled data
- training data
- decision trees