Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks.
Battista BiggioIgino CoronaGiorgio FumeraGiorgio GiacintoFabio RoliPublished in: MCS (2011)
Keyphrases
- ensemble learning
- decision trees
- majority voting
- voting methods
- ensemble classifier
- individual classifiers
- meta learning
- classifier ensemble
- randomized trees
- training set
- decision tree classifiers
- imbalanced data
- ensemble classification
- ensemble methods
- class label noise
- weak classifiers
- machine learning algorithms
- decision stumps
- knn
- support vector
- countermeasures
- classifier combination
- ensemble members
- random forest
- linear classifiers
- training data
- random forests
- generalization error
- accurate classifiers
- machine learning
- base classifiers
- machine learning methods
- class labels
- feature set
- naive bayes
- learning machines
- current status
- multi agent
- semi supervised
- svm classifier
- weighted voting
- learning algorithm
- class distribution
- feature selection
- support vector machine
- training samples
- classifier fusion
- test set
- cross validation
- subspace methods
- classification algorithm
- learning tasks
- combining multiple