Selective voting in convex-hull ensembles improves classification accuracy.
Ralph L. KodellChuanlei ZhangEric R. SiegelRadhakrishnan NagarajanPublished in: Artif. Intell. Medicine (2012)
Keyphrases
- convex hull
- classification accuracy
- weighted voting
- feasible solution
- mixed integer
- feature selection
- point sets
- computational geometry
- convex polyhedra
- multiple classifier systems
- linear inequalities
- support vector
- training data
- convex sets
- data points
- feature set
- training samples
- feature space
- convex concave
- minimum distance
- ensemble learning
- extreme points
- majority voting
- machine learning
- naive bayes
- image processing
- data sets
- continuous variables
- base classifiers
- ensemble methods
- high resolution
- training set
- lower bound
- voting method
- computer vision
- finite set of points