Fouille de grands ensembles de données avec un boosting de Proximal SVM.
Thanh-Nghi DoFrançois PouletPublished in: EGC (2004)
Keyphrases
- ensemble learning
- decision stumps
- ensemble methods
- ensemble classifier
- generalization ability
- base classifiers
- support vector machine svm
- support vector
- support vector machine
- feature selection
- multi class
- imbalanced data
- base learners
- decision forest
- decision trees
- binary classification
- cost sensitive
- weighted voting
- knn
- learning machines
- random forests
- majority voting
- weak learners
- learning algorithm
- prediction accuracy
- multiple classifier systems
- training set
- binary classification problems
- feature ranking
- boosting algorithms
- benchmark datasets
- machine learning
- kernel function
- adaboost algorithm
- kernel machines
- support vectors
- soft margin
- training data
- decision tree ensembles
- improving classification accuracy
- bayesian classifiers
- random forest
- multi class classification
- weak classifiers
- feature vectors
- generalization bounds
- text classification
- svm classification
- text classifiers
- svm classifier
- classification algorithm