GRG-MAPE and PCC-MAPE Based on Uncertainty-Mathematical Theory for Path-Loss Model Selection.
Junyi YuChangzhen LiKun YangWei ChenPublished in: VTC Spring (2016)
Keyphrases
- model selection
- mathematical theory
- cross validation
- uncertain information
- parameter estimation
- sample size
- bayesian learning
- hyperparameters
- error estimation
- general theory
- regression model
- uncertain data
- variable selection
- machine learning
- meta learning
- gaussian process
- marginal likelihood
- statistical inference
- model selection criteria
- generalization error
- mathematical models
- selection criterion
- incomplete information
- parameter determination
- feature selection
- information criterion
- bayesian information criterion
- belief functions
- image processing
- artificial neural networks
- automatic model selection
- subspace information criterion