A DC programming approach for feature selection in the Minimax Probability Machine.
Liming YangRibo JuPublished in: Int. J. Comput. Intell. Syst. (2014)
Keyphrases
- minimax probability machine
- feature selection
- dc programming
- support vector machine
- minimum error
- convex functions
- exact penalty
- multi class
- feature set
- machine learning
- feature extraction
- feature space
- bayes optimal
- model selection
- multi task
- packing problem
- dimensionality reduction
- feature subset
- support vector
- learning algorithm
- upper bound
- np hard
- objective function