Asymptotic analysis of Bayesian generalization error with Newton diagram.
Keisuke YamazakiMiki AoyagiSumio WatanabePublished in: Neural Networks (2010)
Keyphrases
- generalization error
- asymptotic analysis
- cross validation
- model selection
- upper bound
- active learning
- learning algorithm
- training data
- fluid model
- training error
- training set
- sample size
- supervised learning
- generalization error bounds
- subspace information criterion
- bayesian networks
- maximum margin
- data sets
- boosting algorithms
- machine learning
- worst case
- stochastic model
- pairwise
- support vector
- neural network