Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects.
Cristina TavaresNathalia Moraes do NascimentoPaulo S. C. AlencarDonald D. CowanPublished in: CoRR (2023)
Keyphrases
- model selection
- machine learning
- cross validation
- hyperparameters
- statistical learning
- parameter estimation
- bayesian learning
- regression model
- feature selection
- sample size
- statistical inference
- model selection criteria
- selection criterion
- error estimation
- meta learning
- mixture model
- marginal likelihood
- covariate shift
- motion segmentation
- information criterion
- learning machines
- data mining
- bayesian methods
- gaussian process
- variable selection
- machine learning algorithms
- real world
- parameter determination
- generalization error
- inductive learning
- learning problems
- text classification
- learning algorithm
- automatic model selection
- multivariate regression