Sparse least squares Support Vector Machine classifiers.
Johan A. K. SuykensLukas LukasJoos VandewallePublished in: ESANN (2000)
Keyphrases
- least squares support vector machine
- ls svm
- small sample
- high dimension
- support vector
- training data
- svm classifier
- feature selection
- training set
- machine learning algorithms
- test set
- least squares
- decision trees
- supervised classification
- support vector machine
- high dimensional
- feature set
- cross validation
- variable selection
- statistical learning theory
- machine learning
- data sets