Applying Cost-Sensitive Classifiers with Reinforcement Learning to IDS.
Roberto BlancoJuan J. CillaSamira BriongosPedro MalagónJosé Manuel MoyaPublished in: IDEAL (1) (2018)
Keyphrases
- cost sensitive
- naive bayes
- reinforcement learning
- misclassification costs
- multi class
- boosting algorithms
- cost sensitive learning
- class probabilities
- probability estimates
- binary classification
- cost sensitive classification
- decision trees
- class distribution
- binary classifiers
- training data
- active learning
- classification accuracy
- support vector
- learning algorithm
- classification algorithm
- probability estimation
- linear classifiers
- test set
- svm classifier
- text categorization
- intrusion detection
- training set
- machine learning methods
- class imbalance
- machine learning algorithms
- training examples
- small number
- learning problems
- classification models
- class labels
- data sets
- feature set
- learning process
- machine learning