Classification de grands ensembles de données avec un nouvel algorithme de SVM.
Thanh-Nghi DoFrançois PouletPublished in: EGC (2007)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- classification method
- classification algorithm
- decision trees
- machine learning
- generalization ability
- svm classifier
- improves the classification accuracy
- feature selection
- feature vectors
- svm classification
- pattern recognition
- training set
- training process
- feature space
- knn
- imbalanced data
- class labels
- partially supervised
- image classification
- decision boundary
- kernel function
- cost sensitive
- unbalanced data
- multi class classification
- support vector machine classifiers
- logistic regression
- supervised learning
- kernel machines
- feature ranking
- classifier ensemble
- k nearest neighbor
- classification accuracy
- cross validation
- multi class svm
- training data
- histogram intersection kernel
- high classification accuracy
- fold cross validation
- ensemble classifier
- regression problems
- ensemble learning
- training samples
- multi class