Estimating conditional density of missing values using deep Gaussian mixture model.
Marcin PrzewiezlikowskiMarek SmiejaLukasz StruskiPublished in: CoRR (2020)
Keyphrases
- gaussian mixture model
- missing values
- mixture model
- missing data
- feature vectors
- em algorithm
- incomplete data
- maximum likelihood
- expectation maximization
- gaussian mixture
- density estimation
- feature space
- exponential family
- gaussian distribution
- probability density function
- high dimensional data
- density function
- generative model
- cross validation
- unsupervised learning
- hyperparameters
- feature extraction