Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost.
Amin ShahrakiMahmoud AbbasiØystein HaugenPublished in: Eng. Appl. Artif. Intell. (2020)
Keyphrases
- boosting algorithms
- comparative evaluation
- multi class
- adaboost algorithm
- loss function
- network intrusion detection
- weak learners
- cost sensitive
- weak classifiers
- face detection
- base classifiers
- learning algorithm
- support vector
- object detection
- training data
- ensemble methods
- generalization error
- weak hypotheses
- binary classification
- intrusion detection
- anomaly detection
- decision trees
- feature extraction
- minimum margin
- ensemble learning
- linear classifiers
- multi class classification
- data mining