PCF-SVM : une nouvelle méthode de sélection d'attributs pour la classification supervisée.
Salma JamoussiYassine Ben AyedPublished in: Tech. Sci. Informatiques (2016)
Keyphrases
- classification method
- support vector machine svm
- support vector
- support vector machine
- classification algorithm
- feature vectors
- svm classification
- svm classifier
- k nearest neighbor
- improves the classification accuracy
- knn
- machine learning
- training set
- multi class svm
- multi class classification
- generalization ability
- classification scheme
- classification accuracy
- decision trees
- structured output
- decision boundary
- feature space
- high classification accuracy
- ensemble classifier
- multi class
- support vector machine classifiers
- classification models
- kernel function
- cost sensitive
- partially supervised
- pattern recognition
- feature selection
- unbalanced data
- rule based classifier
- fuzzy support vector machine
- decision forest
- support vectors
- binary classification
- hyperplane
- radial basis function
- cross validation
- feature set
- supervised learning
- training data