Objective parametric model selection procedures from a Bayesian nonparametric perspective.
Eduardo Gutiérrez-PeñaRaúl RuedaAlberto Contreras-CristánPublished in: Comput. Stat. Data Anal. (2009)
Keyphrases
- model selection
- bayesian nonparametric
- gaussian process
- mixture model
- hyperparameters
- cross validation
- gaussian processes
- regression model
- bayesian learning
- parameter estimation
- sample size
- inverse reinforcement learning
- machine learning
- unsupervised learning
- variational inference
- feature selection
- gaussian mixture model
- density estimation
- approximate inference
- semi supervised