Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes.
Ricardo ÑanculefCarlos ConchaHéctor AllendeDiego CandelClaudio MoragaPublished in: HIS (2008)
Keyphrases
- convex hull
- hyperplane
- decision boundary
- support vector
- closest points
- training set
- minimum distance
- training samples
- gene selection
- support vectors
- feature selection
- convex polyhedra
- computational geometry
- binary classifiers
- feasible solution
- point sets
- support vector machine svm
- distance measure
- multi class
- simple polygon
- distance function
- data points
- support vector machine
- mixed integer
- knn
- convex sets
- finite set of points
- feature space
- extreme points
- high dimensional
- binary classification
- machine learning
- kernel function
- euclidean distance
- svm classifier
- geometric properties
- point pairs
- closest point
- microarray
- training data