Model Selection - Knowledge Distillation Framework for Model Compression.
Renhai ChenShimin YuanShaobo WangZhenghan LiMeng XingZhiyong FengPublished in: SSCI (2021)
Keyphrases
- statistical model
- model selection
- probability model
- cross validation
- information criterion
- parameter estimation
- statistical inference
- bayesian learning
- generalization error
- statistical learning
- selection criterion
- regression model
- probabilistic model
- prior knowledge
- likelihood function
- machine learning
- automatic model selection
- meta learning
- gaussian process
- hyperparameters
- sample size
- mixture model
- probability distribution
- feature vectors
- feature selection