A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021.
Fabian FalckYuyin ZhouEmma RocheteauLiyue ShenLuis OalaGirmaw AbebeSubhrajit RoyStephen PfohlEmily AlsentzerMatthew B. A. McDermottPublished in: CoRR (2021)
Keyphrases
- machine learning
- computer science
- information extraction
- artificial intelligence
- maximum likelihood
- machine learning methods
- computer vision
- explanation based learning
- natural language processing
- machine learning algorithms
- computational intelligence
- supervised learning
- learning tasks
- machine learning approaches
- document collections
- health care
- inductive learning
- text classification
- invited talk
- pattern recognition
- learning algorithm
- data mining
- text mining
- support vector machine
- knowledge discovery
- knowledge representation
- transfer learning
- keywords
- decision trees
- learning problems
- feature selection
- database