Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints.
Vanya Van BelleKristiaan PelckmansJohan A. K. SuykensSabine Van HuffelPublished in: IWANN (1) (2009)
Keyphrases
- least squares
- feature selection
- machine learning
- computer vision
- sparse linear
- constrained optimization
- classification accuracy
- artificial neural networks
- relational databases
- feature extraction
- linear constraints
- robust estimation
- support vector
- text classification
- mutual information
- model selection
- unsupervised learning
- high dimensionality
- classification models
- feature set
- feature selection algorithms
- feature space
- global constraints
- selected features
- multi class
- irrelevant features
- knn