Model Selection and Weight Sharing of Multi-layer Perceptrons.
Yusuke TanahashiKazumi SaitoRyohei NakanoPublished in: KES (4) (2005)
Keyphrases
- model selection
- multi layer perceptron
- neural network
- cross validation
- artificial neural networks
- radial basis function
- hyperparameters
- bayesian learning
- parameter estimation
- support vector machine
- sample size
- regression model
- machine learning
- error estimation
- radial basis function network
- neural network model
- gaussian process
- information criterion
- selection criterion
- variable selection
- model selection criteria
- statistical learning
- statistical inference
- generalization error
- parameter determination
- automatic model selection
- feature selection
- leave one out cross validation
- bayesian methods
- mixture model
- data sets
- reinforcement learning