Sampling large hyperplane-truncated multivariate normal distributions.
Hassan MaatoukDidier RullièreXavier BayPublished in: Comput. Stat. (2024)
Keyphrases
- hyperplane
- normal distribution
- sample space
- standard deviation
- support vector
- training samples
- random variables
- data points
- covariance matrix
- feature space
- mixture distribution
- principal components
- probability distribution
- decision boundary
- support vector machine
- kernel function
- probability density function
- input space
- sample size
- svm classifier
- data mining
- convex hull
- gaussian distribution
- maximum likelihood
- image processing