Minimum Precision Requirements of General Margin Hyperplane Classifiers.
Charbel SakrYongjune KimNaresh R. ShanbhagPublished in: IEEE J. Emerg. Sel. Topics Circuits Syst. (2019)
Keyphrases
- hyperplane
- separating hyperplane
- support vector
- decision boundary
- maximal margin
- linear classifiers
- maximum margin
- training samples
- classification procedure
- feature space
- support vector machine
- linear separability
- support vectors
- svm classifier
- linearly separable
- data points
- input space
- training set
- feature selection
- principal components
- kernel function
- incremental learning algorithm
- convex hull
- data analysis
- radial basis function
- state space
- classification accuracy
- pairwise