Data Imputation with Adversarial Neural Networks for Causal Discovery from Subsampled Time Series.
Julio Muñoz BenítezLuis Enrique SucarPublished in: MICAI (2) (2023)
Keyphrases
- causal discovery
- data imputation
- neural network
- missing values
- causal models
- causal relationships
- missing data
- discovery process
- causal structure
- bayesian networks
- directed acyclic graph
- markov blanket
- neural network model
- pattern recognition
- multilayer perceptron
- back propagation
- conditional independence
- observational data
- artificial neural networks
- nearest neighbor
- knowledge discovery
- k nearest neighbor
- multi layer perceptron
- probability distribution
- machine learning