A widely applicable Bayesian information criterion.
Sumio WatanabePublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- widely applicable
- bayesian information criterion
- information criterion
- model selection
- mixture model
- learning theory
- gaussian mixture model
- model based clustering
- akaike information criterion
- selection criterion
- speaker diarization
- cross validation
- data sets
- high dimensional data
- text mining
- high dimensional
- image segmentation
- feature selection
- neural network