Gaussian Scale Mixture Models for Robust Linear Multivariate Regression with Missing Data.
Juha Ala-LuhtalaRobert PichéPublished in: Commun. Stat. Simul. Comput. (2016)
Keyphrases
- missing data
- mixture model
- finite mixture models
- gaussian mixture model
- multivariate regression
- maximum likelihood
- model selection
- low rank
- em algorithm
- missing values
- incomplete data
- low rank matrix
- density estimation
- gaussian mixture
- mixture modeling
- generative model
- regression model
- unsupervised learning
- multiple imputation
- matrix factorization
- probabilistic model
- expectation maximization
- language model
- probability density function
- cross validation
- mixture of gaussians
- computer vision
- object recognition
- pattern recognition
- feature selection