Multi-model selection of integrated mechanistic-empirical models describing T-cell response.
Michaelle N. MayaluH. Harry AsadaPublished in: ACC (2015)
Keyphrases
- model selection
- cross validation
- parameter estimation
- hyperparameters
- machine learning
- sample size
- bayesian learning
- statistical learning
- model selection criteria
- mixture model
- information criterion
- regression model
- marginal likelihood
- variable selection
- motion segmentation
- generalization error
- meta learning
- leave one out cross validation
- feature selection
- statistical inference
- bayesian information criterion
- selection criterion
- automatic model selection
- markov random field
- probabilistic model
- active learning