Evolutionary model selection in unsupervised learning.
YongSeog KimW. Nick StreetFilippo MenczerPublished in: Intell. Data Anal. (2002)
Keyphrases
- model selection
- unsupervised learning
- cross validation
- parameter estimation
- hyperparameters
- mixture model
- bayesian learning
- sample size
- regression model
- selection criterion
- marginal likelihood
- machine learning
- statistical learning
- feature selection
- generalization error
- error estimation
- variable selection
- leave one out cross validation
- model selection criteria
- motion segmentation
- gaussian process
- text classification
- supervised learning
- statistical inference
- training set
- bayesian information criterion
- bayesian model selection
- data sets
- posterior distribution
- decision trees