How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation.
Vito Walter AnelliAlejandro BellogínAntonio FerraraDaniele MalitestaFelice Antonio MerraClaudio PomoFrancesco Maria DoniniEugenio Di SciascioTommaso Di NoiaPublished in: IIR (2021)
Keyphrases
- model selection
- data processing
- cross validation
- statistical inference
- bayesian learning
- regression model
- variable selection
- feature selection
- motion segmentation
- hyperparameters
- machine learning
- sample size
- statistical learning
- information criterion
- gaussian process
- meta learning
- model selection criteria
- data sets
- bayesian model selection
- bayesian information criterion
- generalization error
- parameter estimation
- data mining