Model selection to enhance prediction performance in the presence of missing data.
Faraj A. A. BashirHua-Liang WeiAbdollha M. BenomairPublished in: MMAR (2015)
Keyphrases
- missing data
- model selection
- motion segmentation
- cross validation
- hyperparameters
- data imputation
- missing values
- low rank
- incomplete data
- regression model
- feature selection
- parameter estimation
- sample size
- mixture model
- machine learning
- variable selection
- imputation methods
- matrix factorization
- gaussian process
- marginal likelihood
- multiple imputation
- selection criterion
- bayesian information criterion
- information criterion
- posterior distribution
- gaussian processes
- generalization error
- model selection criteria
- decision trees