Modeling the performance of parallel applications using model selection techniques.
Diego Rodríguez MartínezVicente Blanco PérezJosé Carlos CabaleiroTomás F. PenaFrancisco F. RiveraPublished in: Concurr. Comput. Pract. Exp. (2014)
Keyphrases
- model selection
- cross validation
- bayesian learning
- hyperparameters
- sample size
- mixture model
- parameter estimation
- motion segmentation
- model selection criteria
- generalization error
- selection criterion
- meta learning
- regression model
- machine learning
- gaussian process
- feature selection
- statistical learning
- error estimation
- leave one out cross validation
- data sets
- parameter determination
- automatic model selection
- variable selection
- feature space
- objective function
- statistical inference
- generalization bounds
- bayesian information criterion
- information criterion
- marginal likelihood