Automated learning of t factor analysis models with complete and incomplete data.
Wan-Lun WangLuis Mauricio CastroTsung-I LinPublished in: J. Multivar. Anal. (2017)
Keyphrases
- incomplete data
- factor analysis
- component analysis
- automatic model selection
- learning bayesian networks
- learning algorithm
- learning process
- probabilistic model
- unsupervised learning
- missing values
- supervised learning
- variational bayesian
- cluster analysis
- independent component analysis
- bayesian networks
- missing data
- machine learning algorithms
- discriminant analysis
- matrix factorization
- statistical models
- support vector
- clustering algorithm
- latent factors
- neural network