Discriminating Instance Generation for Automated Constraint Model Selection.

Ian P. Gent Bilal Syed Hussain Christopher Jefferson Lars Kotthoff Ian Miguel Glenna F. Nightingale Peter Nightingale

Published in: CP (2014)

Keyphrases

model selection
cross validation
parameter estimation
hyperparameters
machine learning
sample size
bayesian learning
regression model

motion segmentation
meta learning
statistical learning
error estimation
mixture model
generalization error
feature selection

marginal likelihood
automatic model selection
variable selection
statistical inference
leave one out cross validation
data sets
gaussian process

selection criterion
information criterion
model selection criteria
upper bound
bayesian information criterion
parameter determination
bayesian model selection