Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization.
Vadim MottlOlga KrasotkinaValentina SulimovaAlexey MorozovIlya PugachAlexander TatarchukPublished in: MLDM (1) (2019)
Keyphrases
- regression problems
- high dimensional
- linear complexity
- group lasso
- genetic programming
- feature selection
- support vector
- knn
- support vector machine
- dimensionality reduction
- low dimensional
- random forests
- input space
- linear regression
- parameter space
- machine learning algorithms
- high dimensional data
- support vector machine svm
- data sets
- multi class
- feature vectors
- pattern recognition
- feature extraction
- machine learning