Gaussian latent variable models for variable selection.
Xiubao JiangXinge YouYi MouShujian YuWu ZengPublished in: SPAC (2014)
Keyphrases
- variable selection
- latent variable models
- latent variables
- cross validation
- high dimensional
- model selection
- real valued
- hidden variables
- dimension reduction
- hidden markov models
- latent dirichlet allocation
- learning problems
- probabilistic model
- feature selection
- latent space
- maximum likelihood
- high dimensional data
- least squares
- topic models
- object recognition
- data points
- pattern recognition
- posterior distribution
- gaussian process
- gaussian mixture
- training data