Generalization Error of Linear Neural Networks in an Empirical Bayes Approach.
Shinichi NakajimaSumio WatanabePublished in: IJCAI (2005)
Keyphrases
- generalization error
- neural network
- bayes optimal
- model selection
- cross validation
- learning algorithm
- learning machines
- active learning
- upper bound
- linear classifiers
- training set
- classification error
- sample complexity
- sample size
- training data
- binary classification
- supervised learning
- training error
- target function
- generalization error bounds
- fuzzy logic
- decision trees
- information criterion
- training process
- perceptron learning
- artificial neural networks
- leave one out cross validation
- subspace information criterion
- training algorithm
- neural nets
- recurrent neural networks
- feed forward
- fault diagnosis
- back propagation
- lower bound