SessionNet: Feature Similarity-Based Weighted Ensemble Learning for Motor Imagery Classification.
Byeong-Hoo LeeJi-Hoon JeongSeong-Whan LeePublished in: IEEE Access (2020)
Keyphrases
- ensemble learning
- motor imagery
- generalization ability
- ensemble classifier
- feature vectors
- ensemble methods
- weak learners
- eeg signals
- support vector
- support vector machine svm
- feature set
- feature extraction
- random forest
- base classifiers
- concept drift
- classification algorithm
- image classification
- feature ranking
- classification accuracy
- pattern recognition
- decision trees
- unlabeled data
- unsupervised learning
- support vector machine
- training set
- brain computer interface
- machine learning methods
- feature space
- non stationary
- classification models
- feature subset
- fault diagnosis
- class labels
- data mining
- training samples
- supervised learning
- active learning
- feature selection