Characterization of Linearly Separable Boolean Functions: A Graph-Theoretic Perspective.
Yanyi RaoXianda ZhangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2017)
Keyphrases
- graph theoretic
- boolean functions
- linearly separable
- linear separability
- uniform distribution
- hyperplane
- linear classifiers
- input space
- high dimensional feature space
- feature space
- graph theory
- infinite dimensional
- convex hull
- data points
- sample set
- membership queries
- positive definite
- bayesian networks
- data sets
- machine learning
- training data
- pairwise
- kernel function
- active learning