A Data-Driven Model Selection Approach to Spatio-Temporal Prediction.
Rocío ZorrillaEduardo S. OgasawaraPatrick ValduriezFábio PortoPublished in: SBBD (2022)
Keyphrases
- model selection
- data driven
- spatio temporal
- cross validation
- parameter estimation
- hyperparameters
- statistical learning
- statistical inference
- model selection criteria
- bayesian learning
- sample size
- regression model
- mixture model
- meta learning
- generalization error
- feature selection
- bayesian information criterion
- variable selection
- motion segmentation
- image sequences
- machine learning
- selection criterion
- information criterion
- marginal likelihood
- error estimation
- hypothesis tests
- parameter determination
- bayesian methods
- leave one out cross validation
- automatic model selection