Limitations of the Hyperplane Separation Technique for Bounding the Extension Complexity of Polytopes.
Matthias BruggerPublished in: CoRR (2019)
Keyphrases
- hyperplane
- convex hull
- support vector
- feature space
- data points
- input space
- linear classifiers
- support vector machine
- training samples
- maximal margin
- incremental learning algorithm
- principal components
- linearly separable
- classification procedure
- locality sensitive
- kernel function
- worst case
- average distance
- kernel space
- svm classifier
- learning process
- neural network