Classification System Based on Ensemble Methods for Solving Machine Learning Tasks.
Peter BidyukIrina KalininaOleksandr ZhebkoAleksandr GozhyjTetiana HannichenkoPublished in: MoMLeT+DS (2023)
Keyphrases
- learning tasks
- ensemble methods
- base learners
- machine learning methods
- machine learning algorithms
- decision trees
- machine learning
- supervised learning
- benchmark datasets
- majority voting
- meta learning
- learning problems
- generalization ability
- random forests
- classifier ensemble
- labeled and unlabeled data
- prediction accuracy
- learning algorithm
- learning experience
- multi task
- transfer learning
- learning machines
- classification accuracy
- multi task learning
- support vector machine
- classification algorithm
- base classifiers
- feature vectors
- ensemble learning
- training set
- semi supervised
- feature selection
- feature extraction
- binary classification
- class labels
- image processing
- image segmentation
- classifier combination
- support vector
- learning scheme
- active learning
- cost sensitive
- knn
- feature set
- naive bayes