A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data.
Lin YueHaonan ZhaoYiqin YangDongyuan TianXiaowei ZhaoMinghao YinPublished in: DASFAA (3) (2019)
Keyphrases
- synthetic data
- prior knowledge
- missing data
- input data
- noisy data
- test data
- missing values
- detection method
- statistical methods
- prediction accuracy
- significant improvement
- unsupervised learning
- high accuracy
- prior information
- background knowledge
- training samples
- learning process
- pairwise
- computational complexity
- data structure
- predictive model
- correlation analysis
- data sets
- learning models
- linear predictors
- prediction error
- learning scheme
- radial basis function network
- prediction algorithm
- clustering method
- data collection
- training data
- learning algorithm
- spectral clustering
- support vector machine
- information loss
- high dimensional
- bayesian methods
- objective function
- e learning
- data mining