Neural Networks as Model Selection with Incremental MDL Normalization.
Baihan LinPublished in: HBAI@IJCAI (2019)
Keyphrases
- model selection
- neural network
- cross validation
- statistical learning
- hyperparameters
- bayesian learning
- regression model
- parameter estimation
- statistical inference
- sample size
- incremental learning
- mixture model
- variable selection
- model selection criteria
- information criterion
- selection criterion
- feature selection
- marginal likelihood
- machine learning
- motion segmentation
- back propagation
- gaussian process
- meta learning
- generalization error
- automatic model selection
- error estimation
- leave one out cross validation
- unsupervised learning
- decision trees
- generalization bounds
- training data
- parameter determination