Imputations of missing values using a tracking-removed autoencoder trained with incomplete data.
Xiaochen LaiXia WuLiyong ZhangWei LuChongquan ZhongPublished in: Neurocomputing (2019)
Keyphrases
- incomplete data
- missing values
- missing data
- learning bayesian networks
- incomplete data sets
- missing data imputation
- missing attribute values
- particle filter
- exponential family
- training set
- multiple imputation
- data imputation
- high dimensional data
- missing information
- motion segmentation
- k nearest neighbor
- k means
- data mining