Model Selection to Characterize Performance Using Genetic Algorithms.
Diego Rodríguez MartínezJosé Carlos CabaleiroTomás F. PenaFrancisco F. RiveraVicente Blanco PérezPublished in: ISPA (2012)
Keyphrases
- model selection
- cross validation
- hyperparameters
- statistical learning
- parameter estimation
- machine learning
- sample size
- bayesian learning
- model selection criteria
- mixture model
- regression model
- selection criterion
- generalization error
- genetic algorithm
- information criterion
- variable selection
- gaussian process
- error estimation
- meta learning
- bayesian methods
- automatic model selection
- statistical inference
- generalization bounds
- feature selection
- parameter determination
- motion segmentation
- missing values
- generative model
- high dimensional