R/PY-SUMMA: An R/Python Package for Unsupervised Ensemble Learning for Binary Classification Problems in Bioinformatics.
Mehmet Eren AhsenRobert M. VogelGustavo A. StolovitzkyPublished in: J. Comput. Biol. (2020)
Keyphrases
- ensemble learning
- binary classification problems
- base learners
- ensemble methods
- multi class
- binary classification
- base classifiers
- generalization ability
- decision trees
- support vector machine
- class imbalance
- machine learning
- semi supervised
- concept drift
- ensemble classifier
- majority voting
- feature selection
- multiclass classification
- random forest
- text mining
- unsupervised learning
- multi task
- unlabeled data
- multi class classification
- binary classifiers
- data mining
- pairwise
- support vector
- cost sensitive
- benchmark datasets
- random forests
- learning algorithm
- machine learning algorithms
- non stationary
- supervised learning
- prior knowledge
- feature space
- neural network