On the use of meta-learning for instance selection: An architecture and an experimental study.
Enrique LeyvaYoel CaisesAntonio González MuñozRaúl PérezPublished in: Inf. Sci. (2014)
Keyphrases
- meta learning
- instance selection
- feature selection
- learning tasks
- text classification
- nearest neighbor
- inductive learning
- data reduction
- supervised learning
- model selection
- classification accuracy
- multi class
- multiple instance learning
- semi supervised learning
- machine learning
- machine learning algorithms
- data mining
- decision trees
- base classifiers
- support vector machine
- knowledge discovery and data mining
- data sets
- concept drift
- training set
- neural network
- metamodel
- feature subset
- preprocessing
- labeled data
- k nearest neighbor
- feature set
- high dimensional