Deep neural networks versus support vector machines for ECG arrhythmia classification.
Sean Shensheng XuMan-Wai MakChi-Chung CheungPublished in: ICME Workshops (2017)
Keyphrases
- support vector
- neural network
- classification accuracy
- pattern recognition
- heart rate variability
- large margin classifiers
- generalization ability
- learning machines
- svm classifier
- ecg signals
- multi class classification
- support vector machine
- feature selection
- radial basis function
- beat classification
- svm classification
- logistic regression
- machine learning
- artificial neural networks
- feature vectors
- mit bih arrhythmia database
- genetic algorithm
- neural networks and support vector machines
- decision trees
- heart rate
- training set
- support vector machine svm
- multi layer perceptron
- fuzzy logic
- kernel methods
- self organizing maps
- image classification
- text classification
- feature space
- kernel function
- back propagation
- loss function
- learning algorithm
- fuzzy decision trees
- decision function
- learning vector quantization
- binary classification
- rule extraction
- supervised learning
- support vectors