Combining Uncertainty Sampling Methods for Active Meta-Learning.
Ricardo Bastos Cavalcante PrudêncioTeresa Bernarda LudermirPublished in: ISDA (2009)
Keyphrases
- meta learning
- sampling methods
- inductive learning
- learning tasks
- random sampling
- machine learning algorithms
- model selection
- decision trees
- class imbalance
- base classifiers
- data mining
- sampling algorithm
- feature selection
- prediction accuracy
- nearest neighbor
- machine learning
- original data
- inductive logic programming
- data sets
- metamodel
- small number
- data model
- feature vectors
- databases