A Model Selection Method Based on Bound of Learning Coefficient.
Keisuke YamazakiKenji NagataSumio WatanabeKlaus-Robert MüllerPublished in: ICANN (2) (2006)
Keyphrases
- model selection
- cross validation
- bayesian methods
- parameter estimation
- bayesian learning
- unsupervised learning
- learning machines
- feature selection
- statistical learning
- lower bound
- learning algorithm
- active learning
- prior knowledge
- machine learning
- objective function
- statistical model
- similarity measure
- variable selection
- parameter determination
- model selection criteria
- marginal likelihood
- error estimation
- feature space
- supervised learning
- learning problems
- regression model
- probabilistic model
- support vector machine