A tunable support vector machine assembly classifier for epileptic seizure detection.
Y. TangDominique M. DurandPublished in: Expert Syst. Appl. (2012)
Keyphrases
- support vector machine
- epileptic seizures
- svm classifier
- support vector machine classifier
- training data
- classification method
- classification algorithm
- feature selection
- support vector
- decision boundary
- detection method
- feature space
- high classification accuracy
- object detection
- discriminative classifiers
- svm classification
- multi class
- decision trees
- training set
- detection algorithm
- decision forest
- support vector machine svm
- soft margin
- small sample
- signal processing
- binary decision tree
- pattern recognition
- learning algorithm
- data mining
- false positives
- kernel function
- data sets
- feature set
- knn
- similarity measure
- image processing
- machine learning