DC programming and DCA for sparse Fisher linear discriminant analysis

DC approximation approaches for sparse optimization

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

Self-organizing maps by difference of convex functions optimization

(2014) Hoai An Le Thi et al.   DATA MINING AND KNOWLEDGE DISCOVERY

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

Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms

(2014) Hoai An Le Thi et al.   NEURAL NETWORKS

New and efficient DCA based algorithms for minimum sum-of-squares clustering

(2013) Le Thi Hoai An et al.   PATTERN RECOGNITION

A direct approach to sparse discriminant analysis in ultra-high dimensions

(2012) Q. Mai et al.   BIOMETRIKA

Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design

(2012) Luqman R. Bachtiar et al.   NEURAL COMPUTATION

Learning sparse classifiers with difference of convex functions algorithms

(2012) Cheng Soon Ong et al.   OPTIMIZATION METHODS & SOFTWARE

Lower Bound Theory of Nonzero Entries in Solutions of $\ell_2$-$\ell_p$ Minimization

(2012) Xiaojun Chen et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

A Note On the Connection and Equivalence of Three Sparse Linear Discriminant Analysis Methods

(2012) Qing Mai et al.   TECHNOMETRICS

Exact penalty and error bounds in DC programming

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

Penalized classification using Fisher's linear discriminant

(2011) Daniela M. Witten et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Sparse Discriminant Analysis

(2011) Line Clemmensen et al.   TECHNOMETRICS

Sparse linear discriminant analysis for simultaneous testing for the significance of a gene set/pathway and gene selection

(2009) Michael C. Wu et al.   BIOINFORMATICS

Interpretable Classifiers for fMRI Improve Prediction of Purchases

(2009) Logan Grosenick et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Recovering Sparse Signals With a Certain Family of Nonconvex Penalties and DC Programming

(2009) G. Gasso et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data

(2008) Chenlei Leng   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Modified linear discriminant analysis approaches for classification of high-dimensional microarray data

(2008) Ping Xu et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

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