On Multiple Imputation Through Finite Gaussian Mixture Models.
Marco Di ZioUgo GuarneraPublished in: GfKl (2007)
Keyphrases
- gaussian mixture model
- multiple imputation
- expectation maximization
- missing data
- statistical databases
- mixture model
- em algorithm
- incomplete data
- maximum likelihood
- missing values
- speaker recognition
- feature vectors
- speaker identification
- density estimation
- neural network
- probability density function
- probabilistic model
- probability density
- variational bayes
- databases
- data sets
- unsupervised learning
- image processing
- data analysis