Dependence and Model Selection in LLP: The Problem of Variants.
Gabriel FrancoMark CrovellaGiovanni ComarelaPublished in: KDD (2023)
Keyphrases
- model selection
- cross validation
- hyperparameters
- regression model
- bayesian learning
- parameter estimation
- error estimation
- sample size
- statistical learning
- selection criterion
- motion segmentation
- generalization error
- model selection criteria
- hypothesis tests
- gaussian process
- mixture model
- statistical inference
- meta learning
- variable selection
- feature selection
- machine learning
- bayesian information criterion
- marginal likelihood
- bayesian methods
- high dimensional
- leave one out cross validation