| 09:20-09:40 |
Alper Yildirim |
Yu-Lin Chang |
| Simplicial quadratic optimization problems, conic duality and attainability |
| 09:40-10:00 |
Rabian Wangkeeree |
| A Neurodynamic Framework for Generalized Pinball-Loss SVMs: Admissible Smoothings, Provable Convergence, and an MRI Bone-Density Application |
| 10:00-10:20 |
Kasamsuk Ungchittrakool |
| A Projection-Based Neurodynamic Approach to $l_1$-Regularized Optimization: Stability and Applications |
| 10:20-10:40 | Tea Break |
| 10:40-11:00 |
Thanatporn Grace |
Ching-Yu Yang |
| A Fully Smooth Neural Network for Nonlinear Semidefinite Programming via Smoothed Fischer–Burmeister Functions |
| 11:00-11:20 |
Nutt Tananimit |
| Fixed-Time Stability and Noise Robustness of a Polynomial-Gain Gradient Neural Network for Absolute Value Equations |
| 11:20-11:40 |
Yirga Abebe Belay |
| Approximating Solutions of Generalized Pinball Probabilistic Support Vector Machines using Neural Networks with Smoothing Techniques |
| 11:40-12:00 | Discussion |