Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate.
Linhong LiRen ZuoAmanda CostonJeremy C. WeissGeorge H. ChenPublished in: CoRR (2020)
Keyphrases
- topic models
- active learning
- machine learning
- prior knowledge
- learning tasks
- learning process
- learning algorithm
- feature extraction
- topic modeling
- supervised learning
- latent semantics
- latent topics
- latent dirichlet allocation
- image classification
- co occurrence
- text mining
- knowledge discovery
- feature space
- artificial intelligence
- information retrieval