Improving cross-validation based classifier selection using meta-learning.
Jesse H. KrijtheTin Kam HoMarco LoogPublished in: ICPR (2012)
Keyphrases
- meta learning
- cross validation
- model selection
- selection criterion
- unseen data
- nearest neighbor classifiers
- feature selection
- hyperparameters
- support vector
- binary classifiers
- training set
- generalization error
- decision trees
- machine learning
- cross validated
- learning tasks
- training data
- database
- grid search
- inductive learning
- base learners
- ls svm
- support vector machine
- nearest neighbor classifier
- feature set