V. Jeyakumar

Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review

Big data classification

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

Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle

Optimization problems for machine learning: A survey

High dimensional data classification and feature selection using support vector machines

Semidefinite Relaxation of Quadratic Optimization Problems

A formal definition of Big Data based on its essential features

On hyperparameter optimization of machine learning algorithms: Theory and practice

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

Semidefinite Relaxation Bounds for Indefinite Homogeneous Quadratic Optimization

Deep learning applications and challenges in big data analytics

Sufficient Global Optimality Conditions for Non-convex Quadratic Minimization Problems With Box Constraints

Simultaneous classification and feature selection via convex quadratic programming with application to HIV-associated neurocognitive disorder assessment

Support vector machine classifiers with uncertain knowledge sets via robust optimization

A note on strong duality in convex semidefinite optimization: necessary and sufficient conditions