The importance of hyperparameters selection within small datasets.
Parivash AshrafiYi SunNeil DaveyRod AdamsMarc B. BrownMaria PrapopoulouGary P. MossPublished in: IJCNN (2015)
Keyphrases
- hyperparameters
- model selection
- cross validation
- closed form
- support vector
- bayesian inference
- random sampling
- bayesian framework
- prior information
- maximum likelihood
- em algorithm
- maximum a posteriori
- gaussian process
- incomplete data
- gaussian processes
- incremental learning
- machine learning
- noise level
- missing values
- sample size
- higher order