Decision-Making Bias in Instance Matching Model Selection.
Mayank KejriwalDaniel P. MirankerPublished in: ISWC (1) (2015)
Keyphrases
- model selection
- decision making
- cross validation
- bayesian learning
- sample size
- parameter estimation
- meta learning
- hyperparameters
- regression model
- statistical inference
- selection criterion
- mixture model
- statistical learning
- variable selection
- feature selection
- model selection criteria
- error estimation
- machine learning
- marginal likelihood
- generalization error
- motion segmentation
- information criterion
- automatic model selection
- gaussian process
- bayesian methods
- active learning
- data mining
- least squares
- high dimensional
- leave one out cross validation
- support vector
- bayesian model selection