Understanding the Feature Space and Decision Boundaries of Commercial WAFs Using Maximum Entropy in the Mean.
Henryk GzylEnrique ter HorstNathalie García PeñaAndres TorresPublished in: Entropy (2023)
Keyphrases
- maximum entropy
- decision boundary
- feature space
- class conditional
- training samples
- hyperplane
- data points
- mercer kernels
- maximum entropy principle
- kernel function
- training set
- support vector machine
- axis parallel
- conditional random fields
- high dimensional
- pattern classification
- feature vectors
- nearest neighbor
- support vector
- feature selection
- data distribution
- kernel methods
- dimensionality reduction
- principal component analysis
- input space
- machine learning
- computer vision
- support vectors
- linear classifiers
- base classifiers
- decision trees
- feature extraction
- convex hull
- semi supervised learning
- input data
- classification accuracy