Automating Deep Neural Network Model Selection for Edge Inference.
Bingqian LuJianyi YangLydia Y. ChenShaolei RenPublished in: CogMI (2019)
Keyphrases
- model selection
- neural network
- statistical inference
- cross validation
- bayesian model selection
- parameter estimation
- regression model
- statistical learning
- edge detection
- hyperparameters
- sample size
- error estimation
- generalization error
- model selection criteria
- back propagation
- bayesian learning
- machine learning
- variable selection
- mixture model
- probabilistic inference
- unsupervised learning
- feature selection
- selection criterion
- leave one out cross validation
- bayesian inference
- variational bayes
- gaussian process
- marginal likelihood
- closed form
- bayesian networks
- automatic model selection