Near-Optimal Evasion of Convex-Inducing Classifiers.
Blaine NelsonBenjamin I. P. RubinsteinLing HuangAnthony D. JosephShing-hon LauSteven J. LeeSatish RaoAnthony TranJ. Doug TygarPublished in: AISTATS (2010)
Keyphrases
- training data
- decision trees
- support vector
- classification systems
- test set
- linear classifiers
- convex optimization
- multiple classifiers
- svm classifier
- convex hull
- convex combinations
- supervised classification
- neural network
- classification algorithm
- machine learning algorithms
- naive bayes
- roc curve
- feature selection
- support vector machine svm
- piecewise linear
- supervised learning
- pairwise
- globally optimal
- convex functions
- convex relaxation
- classifier combination
- training set
- majority vote