Ensemble of kernel extreme learning machine based random forest classifiers for automatic heartbeat classification.
Ping YangDan WangWen-Bing ZhaoLi-Hua FuJin-Lian DuHang SuPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- random forest
- ensemble classifier
- decision trees
- feature set
- multi category
- extreme learning machine
- random forests
- ensemble learning
- ensemble methods
- support vector
- base classifiers
- multiple classifiers
- individual classifiers
- majority voting
- classification accuracy
- training set
- classifier ensemble
- feature space
- kernel function
- class labels
- hidden nodes
- support vector regression
- feature selection
- svm classifier
- classification algorithm
- feature extraction
- classification models
- gaussian processes
- classifier combination
- machine learning methods
- naive bayes
- support vector machine svm
- training samples
- multi label
- machine learning
- feature vectors
- image classification
- text classification
- feed forward neural networks
- extracted features
- supervised learning
- support vector machine
- generalization ability
- machine learning algorithms
- weak classifiers
- gaussian process
- multi class
- benchmark datasets