Learning with many experts: Model selection and sparsity.
Rafael IzbickiRafael Bassi SternPublished in: Stat. Anal. Data Min. (2013)
Keyphrases
- model selection
- statistical learning
- cross validation
- meta learning
- bayesian learning
- covariate shift
- mixture model
- learning algorithm
- unsupervised learning
- decision trees
- variable selection
- model selection criteria
- machine learning
- error estimation
- statistical inference
- learning machines
- automatic model selection
- learning tasks
- multi task learning
- gaussian process
- hyperparameters
- selection criterion
- learning problems
- information criterion
- sample size
- parameter estimation
- high dimensional