Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects.
Cristina TavaresNathalia Moraes do NascimentoPaulo AlencarDonald D. CowanPublished in: BigData (2023)
Keyphrases
- model selection
- machine learning
- cross validation
- statistical learning
- hyperparameters
- parameter estimation
- regression model
- bayesian learning
- sample size
- covariate shift
- error estimation
- statistical inference
- feature selection
- gaussian process
- meta learning
- variable selection
- learning machines
- selection criterion
- leave one out cross validation
- marginal likelihood
- model selection criteria
- learning algorithm
- unsupervised learning
- bayesian methods
- inductive learning
- motion segmentation
- mixture model
- active learning
- machine learning algorithms
- bayesian information criterion
- text classification
- information criterion
- probability distribution
- training set
- automatic model selection