Deep learning-bat high-dimensional missing data estimator.
Collins LekeAlain Richard NdjiongueBhekisipho TwalaTshilidzi MarwalaPublished in: SMC (2017)
Keyphrases
- missing data
- deep learning
- high dimensional
- missing values
- unsupervised learning
- low dimensional
- maximum likelihood
- machine learning
- unsupervised feature learning
- low rank
- least squares
- feature space
- multiple imputation
- incomplete data
- dimensionality reduction
- weakly supervised
- data points
- nearest neighbor
- mental models
- perfect phylogeny
- gene expression data
- sparse coding
- principal component analysis
- computer vision
- training data
- data mining
- high dimensional data
- feature vectors