Hyperparameters Evidence and Generalisation for an Unrealisable Rule.
Glenn MarionDavid SaadPublished in: NIPS (1994)
Keyphrases
- hyperparameters
- model selection
- cross validation
- bayesian inference
- random sampling
- closed form
- support vector
- em algorithm
- bayesian framework
- gaussian process
- prior information
- sample size
- noise level
- maximum likelihood
- gaussian processes
- incremental learning
- regularization parameter
- maximum a posteriori
- incomplete data
- missing values
- probabilistic model
- parameter settings
- active learning
- expectation maximization
- grid search
- parameter space
- search space
- feature selection
- learning algorithm
- covariance function
- machine learning