Machine Learning for Health (ML4H) Workshop at NeurIPS 2018.
Natalia AntropovaAndrew L. BeamBrett K. Beaulieu-JonesIrene ChenCorey ChiversAdrian V. DalcaSamuel G. FinlaysonMadalina FiterauJason Alan FriesMarzyeh GhassemiMike HughesBruno JedynakJasvinder S. KandolaMatthew B. A. McDermottTristan NaumannPeter SchulamFarah ShamoutAlexandre YahiPublished in: CoRR (2018)
Keyphrases
- machine learning
- maximum likelihood
- pattern recognition
- data mining
- learning tasks
- machine learning methods
- reinforcement learning
- natural language
- supervised learning
- natural language processing
- computational biology
- explanation based learning
- health care
- learning systems
- machine learning algorithms
- text mining
- knowledge representation
- active learning
- health informatics
- computer science
- decision trees
- artificial intelligence
- acm sigkdd
- medical care
- supervised machine learning
- panel discussion
- electronic health records
- selected papers
- learning algorithm
- machine learning approaches
- inductive learning
- learning problems
- statistical methods
- knowledge acquisition
- computational intelligence
- information extraction
- support vector machine
- training set
- knowledge base