Universal Emotions Classification with Boosted SVM Ensemble Collections.
Ghulam AliMuhammad Amjad IqbalPublished in: ICINCO (1) (2016)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- svm classifier
- classification algorithm
- training set
- ensemble classifier
- feature selection
- majority voting
- classification method
- generalization ability
- improves the classification accuracy
- svm classification
- final classification
- machine learning
- feature extraction
- random forests
- feature vectors
- feature space
- decision trees
- fold cross validation
- ensemble methods
- support vector machine classifiers
- classifier ensemble
- imbalanced data
- training data
- learning algorithm
- logistic regression
- decision forest
- classification accuracy
- pattern recognition
- face recognition
- regression problems
- high classification accuracy
- multiple classifiers
- neural network
- emotion classification
- knn
- supervised learning
- random forest
- classification models
- k nearest neighbor
- class labels
- fuzzy support vector machine
- data sets
- text classification
- linear support vector machines
- training samples
- multi class classification
- cross validation
- binary classification problems
- ensemble learning
- emotion recognition
- training process
- decision boundary