Evaluation of Model Selection for Kernel Fragment Recognition in Corn Silage.
Christoffer Bøgelund RasmussenThomas B. MoeslundPublished in: CoRR (2020)
Keyphrases
- model selection
- cross validation
- hyperparameters
- kernel matrix
- sample size
- regression model
- parameter estimation
- bayesian learning
- statistical learning
- feature selection
- mixture model
- unsupervised learning
- statistical inference
- support vector
- selection criterion
- gaussian process
- machine learning
- error estimation
- variable selection
- generalization error
- face recognition
- kernel machines
- bayesian information criterion
- information criterion
- model selection criteria
- bayesian methods
- kernel function
- objective function
- data mining
- marginal likelihood
- automatic model selection