Adaptively stacking ensembles for influenza forecasting with incomplete data.
Thomas McAndrewNicholas G. ReichPublished in: CoRR (2019)
Keyphrases
- incomplete data
- ensemble learning
- early warning
- base classifiers
- models built
- missing data
- missing values
- learning bayesian networks
- combining classifiers
- bayesian networks
- short term
- em algorithm
- incomplete data sets
- ensemble methods
- public health
- typical testors
- combining multiple
- imbalanced data
- decision trees
- bayes classifier
- training data
- multi class
- variational bayesian
- irrelevant attributes
- data analysis
- test data
- face recognition
- image processing
- multiple imputation
- nearest neighbor
- data sets