Towards an Instance-Level Meta-learning-Based Ensemble for Time Series Classification.
Caio Luiggy Riyoichi Sawada UenoIgor BragaDiego Furtado SilvaPublished in: BRACIS (2) (2020)
Keyphrases
- meta learning
- instance level
- base classifiers
- base learners
- multiple instance
- learning tasks
- ensemble methods
- inductive learning
- decision trees
- multi class
- feature selection
- machine learning algorithms
- model selection
- semi supervised
- semi supervised clustering
- training set
- constrained clustering
- naive bayes
- learning algorithm
- regression problems
- machine learning
- metamodel
- random forests
- training samples
- cluster ensemble
- ontology matching
- databases
- multiple instance learning
- test data
- prediction accuracy
- training data
- class labels
- knowledge acquisition
- image classification
- database systems
- data mining