Uncertainty sampling methods for selecting datasets in active meta-learning.
Ricardo Bastos Cavalcante PrudêncioCarlos SoaresTeresa Bernarda LudermirPublished in: IJCNN (2011)
Keyphrases
- sampling methods
- meta learning
- inductive learning
- random sampling
- learning tasks
- class imbalance
- machine learning algorithms
- model selection
- machine learning
- sampling algorithm
- original data
- decision trees
- feature selection
- multi class
- data mining
- knowledge acquisition
- learning experience
- active learning
- inductive logic programming
- high dimensional
- base classifiers
- training set