Machine Learning for Health (ML4H) 2022.
Antonio ParzialeMonica AgrawalShengpu TangKristen SeversonLuis OalaAdarsh SubbaswamySayantan KumarElora D. M. SchörverthStefan HegselmannHelen ZhouGhada ZamzmiPurity MugambiElena SizikovaGirmaw Abebe TadesseYuyin ZhouTaylor W. KillianHaoran ZhangFahad KamranAndrea HobbyMars HuangAhmed AlaaHarvineet SinghIrene Y. ChenShalmali JoshiPublished in: ML4H@NeurIPS (2022)
Keyphrases
- machine learning
- maximum likelihood
- health care
- learning algorithm
- machine learning methods
- learning systems
- pattern recognition
- explanation based learning
- machine learning algorithms
- artificial intelligence
- decision trees
- information extraction
- natural language processing
- text mining
- knowledge acquisition
- computer vision
- learning tasks
- statistical methods
- inductive logic programming
- support vector machine
- knowledge discovery
- knowledge representation
- computer science
- real world
- neural network
- learning problems
- independent living
- inductive learning
- computational biology
- machine learning approaches
- database
- semi supervised learning
- model selection
- active learning
- training set
- data analysis
- feature selection
- data mining
- databases
- real time