Arrhythmia classification based on wavelet transformation and random forests.
Guolin PanZhuo XinSi ShiDawei JinPublished in: Multim. Tools Appl. (2018)
Keyphrases
- random forests
- wavelet transformation
- decision trees
- machine learning algorithms
- tree ensembles
- regression forests
- random forest
- multiresolution
- machine learning
- logistic regression
- pattern recognition
- classification accuracy
- ensemble methods
- randomized trees
- training set
- wavelet transform
- svm classifier
- machine learning methods
- support vector machine
- naive bayes
- support vector
- class labels
- feature set
- high frequency
- feature extraction
- wavelet decomposition
- feature vectors
- decision tree ensembles
- wavelet analysis
- support vector machine svm
- training samples
- feature space
- feature selection