Bounds for the Average Generalization Error of the Mixture of Experts Neural Network.
Luís A. AlexandreAurélio C. CampilhoMohamed S. KamelPublished in: SSPR/SPR (2004)
Keyphrases
- generalization error
- upper bound
- neural network
- generalization error bounds
- training error
- cross validation
- rademacher complexity
- uniform convergence
- model selection
- classification error
- sample complexity
- learning machines
- linear classifiers
- active learning
- learning algorithm
- training data
- sample size
- lower bound
- algorithmic stability
- binary classification
- training set
- vc dimension
- target function
- hidden layer
- worst case
- supervised learning
- subspace information criterion
- generalization bounds
- back propagation
- error rate
- artificial neural networks
- multilayer perceptron
- boosting algorithms
- risk minimization
- expected error
- fuzzy logic
- neural nets
- recurrent neural networks
- neural network model
- fault diagnosis
- support vector
- data sets