Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition.
Imen TrabelsiMed Salim BouhlelPublished in: Int. J. Synth. Emot. (2015)
Keyphrases
- speech emotion recognition
- feature selection
- support vector
- support vector machine
- support vector machine svm
- kernel methods
- multi class
- svm classifier
- text categorization
- kernel function
- classification accuracy
- feature set
- multiple kernel learning
- feature space
- support vectors
- input features
- mutual information
- svm rfe
- selected features
- small sample
- knn
- support vector classification
- feature extraction
- machine learning
- sparse kernel
- kernel machines
- feature ranking
- generalization ability
- feature selection algorithms
- k nearest neighbor
- classification algorithm
- hilbert schmidt independence criterion
- svm classification
- multi class classification
- bayes classifier
- cross validation
- hyperplane
- linear svm
- maximum margin
- standard svm
- rbf kernel
- classification performances
- method for feature selection
- feature reduction
- binary classification
- decision trees
- feature vectors
- text classification
- microarray data
- high dimensionality
- radial basis function
- feature weighting