A Proof of the Hyperplane Conjecture for a Large Class of Probability Density Functions.
Meik DörpinghausPublished in: CoRR (2015)
Keyphrases
- hyperplane
- probability density function
- class conditional
- training samples
- decision boundary
- support vector
- convex hull
- input space
- data points
- feature space
- support vector machine
- density function
- gaussian mixture model
- principal components
- probability distribution
- bayesian framework
- class specific
- kernel function
- mixture model
- high dimensional
- class labels
- pattern recognition
- em algorithm
- neural network