Combining multiple support vector machines for boosting the classification accuracy of uterine EMG signals.
Bassam MoslemMohamad KhalilMohamad O. DiabAly ChkeirCatherine MarquePublished in: ICECS (2011)
Keyphrases
- combining multiple
- classification accuracy
- support vector
- learning machines
- emg signals
- large margin classifiers
- feature selection
- fusion methods
- multiple classifiers
- kernel function
- training set
- generalization ability
- support vector machine
- training data
- individual classifiers
- artificial intelligence
- cluster ensemble
- naive bayes
- degrees of freedom
- svm classifier
- feature space
- learning systems
- feature set
- computational model
- soft margin
- multi class