Enhancing Accuracy of Arrhythmia Classification by Combining Logical and Machine Learning Techniques.
Vignesh KalidasLakshman TamilPublished in: CinC (2015)
Keyphrases
- classification accuracy
- multiple classifier systems
- machine learning
- decision rules
- correct classification
- accuracy rate
- high accuracy
- automatic classification
- machine learning algorithms
- support vector
- classification scheme
- image classification
- class labels
- feature vectors
- classification rate
- higher classification accuracy
- classification models
- decision trees
- classification systems
- induction algorithms
- machine learning methods
- classification algorithm
- support vector machine svm
- support vector machine
- pattern recognition
- classification method
- fold cross validation
- feature selection
- supervised learning
- classifier combination
- supervised learning algorithms
- heart rate variability
- machine learning approaches
- generalization ability
- classification rules
- data sets
- cross validation
- benchmark datasets
- training samples
- text classification
- training set