Bayesian nonlinear model selection and neural networks: a conjugate prior approach.
Jean-Pierre VilaVérène WagnerPascal NeveuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2000)
Keyphrases
- model selection
- bayesian model averaging
- neural network
- bayesian methods
- bayesian learning
- cross validation
- hyperparameters
- bayesian model selection
- marginal likelihood
- statistical inference
- parameter estimation
- machine learning
- bayesian approaches
- sample size
- regression model
- statistical learning
- posterior distribution
- gaussian process
- covariate shift
- error estimation
- mixture model
- information criterion
- model selection criteria
- meta learning
- selection criterion
- bayesian information criterion
- model averaging
- maximum likelihood
- bayesian model
- generalization error
- feature selection
- prior knowledge
- generalization bounds
- back propagation
- gaussian processes
- variable selection
- image segmentation
- bayesian inference