Guest editorial: model selection and optimization in machine learning.
Süreyya Özögür-AkyüzDevrim ÜnayAlexander J. SmolaPublished in: Mach. Learn. (2011)
Keyphrases
- model selection
- machine learning
- cross validation
- statistical learning
- regression model
- hyperparameters
- parameter estimation
- covariate shift
- sample size
- bayesian learning
- mixture model
- generalization error
- statistical inference
- motion segmentation
- feature selection
- meta learning
- model selection criteria
- unsupervised learning
- marginal likelihood
- data mining
- grid search
- information criterion
- error estimation
- gaussian process
- variable selection
- machine learning methods
- support vector machine
- machine learning algorithms
- probabilistic model
- leave one out cross validation
- learning tasks
- hypothesis tests