Boosting meta-learning with simulated data complexity measures.
Luís Paulo F. GarciaAdriano RivolliEdesio AlcobaçaAna Carolina LorenaAndré C. P. L. F. de CarvalhoPublished in: Intell. Data Anal. (2020)
Keyphrases
- meta learning
- complexity measures
- base classifiers
- inductive learning
- learning tasks
- feature selection
- decision trees
- ensemble methods
- nearest neighbor classifier
- model selection
- machine learning algorithms
- machine learning
- learning algorithm
- multi class
- training set
- lower bound
- data mining
- naive bayes
- metamodel
- learning paradigms
- training samples
- class labels
- boosting algorithms
- test data
- prediction accuracy
- cost sensitive
- feature set
- reinforcement learning
- training data