A Probabilistic Iterative Local Search Algorithm Applied to Full Model Selection.
Esteban CortazarDomingo MeryPublished in: CIARP (2011)
Keyphrases
- model selection
- search algorithm
- cross validation
- parameter estimation
- hyperparameters
- sample size
- mixture model
- statistical learning
- bayesian learning
- bayesian model selection
- model selection criteria
- error estimation
- machine learning
- variable selection
- regression model
- information criterion
- motion segmentation
- training data
- meta learning
- automatic model selection
- generalization error
- gaussian process
- statistical inference
- posterior probability
- generative model
- prior knowledge
- parameter determination
- support vector
- learning algorithm