Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting.
Lijing WangAniruddha AdigaSrinivasan VenkatramananJiangzhuo ChenBryan L. LewisMadhav MarathePublished in: IEEE BigData (2020)
Keyphrases
- learning models
- multiple data sources
- data sources
- databases
- multi source
- machine learning
- learning algorithm
- learning tasks
- data integration
- machine learning algorithms
- loss function
- classification models
- semi supervised learning
- conditional random fields
- learning problems
- heterogeneous sources
- multiple sources
- heterogeneous data sources
- neural network
- real world
- feature selection
- database