An energy-efficient and accuracy-aware edge computing framework for heart arrhythmia detection: A joint model selection and task offloading approach.
Vahid AminiMahmoud MomtazpourMorteza Saheb ZamaniPublished in: J. Supercomput. (2023)
Keyphrases
- model selection
- cross validation
- statistical inference
- leave one out cross validation
- bayesian learning
- machine learning
- parameter estimation
- hyperparameters
- sample size
- regression model
- error estimation
- generalization error
- bayesian model selection
- variable selection
- statistical learning
- selection criterion
- em algorithm
- parameter determination
- mit bih arrhythmia database
- beat classification
- model selection criteria
- gaussian process
- edge detection
- image segmentation