Near-Optimal Evasion of Convex-Inducing Classifiers
Blaine NelsonBenjamin I. P. RubinsteinLing HuangAnthony D. JosephShing-hon LauSteven J. LeeSatish RaoAnthony TranJ. D. TygarPublished in: CoRR (2010)
Keyphrases
- training data
- linear classifiers
- convex combinations
- naive bayes
- decision trees
- support vector
- supervised classification
- feature selection
- classification algorithm
- machine learning algorithms
- neural network
- class labels
- machine learning methods
- convex hull
- convex optimization
- ensemble learning
- classification rate
- multiple classifiers
- piecewise linear
- countermeasures
- feature set
- risk minimization
- generalization bounds
- decision boundary
- learning classifier systems
- globally optimal
- multi class
- training examples
- classification method
- text categorization
- test set