Linear Contrast Classifiers in High-Dimensional Spaces.
Florian SchmidLudwig LausserHans A. KestlerPublished in: ANNPR (2014)
Keyphrases
- decision trees
- feature selection
- training data
- svm classifier
- classification systems
- closed form
- machine learning algorithms
- support vector
- linear support vector machines
- supervised classification
- classification algorithm
- feature extraction
- naive bayes
- feature set
- kernel svms
- test set
- classification decisions
- multiple classifiers
- majority voting
- linear constraints
- ensemble classifier
- training set
- contrast enhancement
- roc curve
- training samples
- machine learning
- logistic regression
- class labels