High-dimensional missing data imputation via undirected graphical model.
Yoonah LeeSeongoh ParkPublished in: Stat. Comput. (2024)
Keyphrases
- missing data imputation
- high dimensional
- undirected graphical models
- missing values
- graphical models
- high dimensional data
- probabilistic graphical models
- conditional random fields
- low dimensional
- dimensionality reduction
- high dimensionality
- markov random field
- similarity search
- gene regulatory networks
- dimension reduction
- nearest neighbor
- gene expression data
- feature space
- data points
- approximate inference
- exact inference
- partition function
- bayesian networks
- probabilistic model
- manifold learning
- belief propagation
- neural network
- reverse engineering
- structure learning
- feature selection
- learning algorithm
- information retrieval