DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines.
Le Hoai MinhLe Thi Hoai AnManh Cuong NguyenPublished in: MLDM (2013)
Keyphrases
- semi supervised support vector machines
- feature selection
- feature selection algorithms
- theoretical analysis
- worst case
- data mining algorithms
- computational cost
- computational complexity
- learning algorithm
- significant improvement
- data sets
- computationally efficient
- text categorization
- feature extraction
- data mining
- lower bound
- semi supervised
- dimensionality reduction
- mutual information
- orders of magnitude
- times faster