Detection of Life-Threatening Arrhythmias Using Feature Selection and Support Vector Machines.
Felipe Alonso AtienzaEduardo MorgadoLorena Fernandez-MartinezArcadi García-AlberolaJosé Luis Rojo-ÁlvarezPublished in: IEEE Trans. Biomed. Eng. (2014)
Keyphrases
- feature selection
- support vector
- learning machines
- large margin classifiers
- support vector machine
- text categorization
- classification accuracy
- mutual information
- automatic detection
- false positives
- text classification
- kernel methods
- cross validation
- kernel function
- detection method
- detection algorithm
- object detection
- detection accuracy
- multi class
- support vector regression
- multi class classification
- false alarms
- feature selection algorithms
- training examples
- svm classifier
- feature set
- active learning
- feature space
- support vector classification
- feature weighting
- decision function
- logistic regression
- binary classification
- generalization ability
- hyperplane
- event detection
- neural network
- model selection
- machine learning