DCA based algorithms for feature selection in multi-class support vector machine

DC programming and DCA for sparse Fisher linear discriminant analysis

(2016) Hoai An Le Thi et al.   NEURAL COMPUTING & APPLICATIONS

DC programming and DCA for sparse optimal scoring problem

(2016) Hoai An Le Thi et al.   NEUROCOMPUTING

DC approximation approaches for sparse optimization

(2015) H.A. Le Thi et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Feature selection in machine learning: an exact penalty approach using a Difference of Convex function Algorithm

(2014) Hoai An Le Thi et al.   MACHINE LEARNING

A feature-selection algorithm based on Support Vector Machine-Multiclass for hyperspectral visible spectral analysis

(2013) Shuiguang Deng et al.   JOURNAL OF FOOD ENGINEERING

An iterative SVM approach to feature selection and classification in high-dimensional datasets

(2013) Dehua Liu et al.   PATTERN RECOGNITION

Multiclass Feature Selection With Kernel Gram-Matrix-Based Criteria

(2012) M. Ramona et al.   IEEE Transactions on Neural Networks and Learning Systems

Exact penalty and error bounds in DC programming

(2011) Hoai An Le Thi et al.   JOURNAL OF GLOBAL OPTIMIZATION

Simultaneous feature selection and classification using kernel-penalized support vector machines

(2010) Sebastián Maldonado et al.   INFORMATION SCIENCES

Enhancing Sparsity by Reweighted ℓ 1 Minimization

(2008) Emmanuel J. Candès et al.   JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS

A DC programming approach for feature selection in support vector machines learning

(2008) Hoai An Le Thi et al.   Advances in Data Analysis and Classification

A bilinear formulation for vector sparsity optimization

(2007) Dori Peleg et al.   SIGNAL PROCESSING