How the choice of samples for building arrhythmia classifiers impact their performances.
Eduardo José da S. LuzDavid MenottiPublished in: EMBC (2011)
Keyphrases
- training samples
- optimum path forest
- small sample
- training data
- training set
- data samples
- support vector
- test sample
- training examples
- data sets
- classification performances
- naive bayes
- machine learning algorithms
- supervised classification
- classification method
- linear classifiers
- unseen data
- trained classifiers
- svm classifier
- test set
- decision trees
- classification models
- classification algorithm
- decision boundary
- ensemble classifier
- ecg signals
- sampling methods
- minority class
- labeled samples
- feature set
- high dimensional
- feature selection
- machine learning