Predictive Approaches For Gaussian Process Classifier Model Selection
Sundararajan SellamanickamSathiya Keerthi SelvarajPublished in: CoRR (2012)
Keyphrases
- model selection
- gaussian process
- hyperparameters
- gaussian processes
- cross validation
- regression model
- gaussian process models
- feature selection
- selection criterion
- marginal likelihood
- leave one out cross validation
- parameter estimation
- likelihood function
- approximate inference
- sample size
- support vector
- bayesian methods
- expectation propagation
- bayesian learning
- posterior distribution
- machine learning
- training data
- mixture model
- variational bayes
- decision trees
- model selection criteria
- latent variables
- support vector machine
- prior knowledge
- grid search