Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders.
Kristian MiokDong Nguyen DoanMarko Robnik-SikonjaDaniela ZahariePublished in: CoRR (2020)
Keyphrases
- monte carlo
- biomedical data
- multiple imputation
- missing data
- statistical databases
- knowledge driven
- incomplete data
- missing values
- data mining methods
- life sciences
- markov chain
- systems biology
- data mining and knowledge discovery
- particle filter
- multi source
- expectation maximization
- data mining technology
- gene networks
- monte carlo tree search
- data sets
- data model
- database
- high throughput
- em algorithm
- data mining techniques
- least squares
- dynamic programming
- decision trees