Active learning and data manipulation techniques for generating training examples in meta-learning.
Arthur F. M. SousaRicardo B. C. PrudêncioTeresa Bernarda LudermirCarlos SoaresPublished in: Neurocomputing (2016)
Keyphrases
- training examples
- meta learning
- data manipulation
- active learning
- learning tasks
- data processing
- supervised learning
- inductive learning
- machine learning
- learning algorithm
- machine learning algorithms
- relational algebra
- training set
- model selection
- decision trees
- small number
- unlabeled data
- semi supervised
- training data
- transfer learning
- database programming
- support vector
- feature selection
- training samples
- labeled data
- base classifiers
- real world
- learning process
- metamodel
- data mining
- pairwise
- class labels