Stochastic limited memory BFGS algorithms for solving nonconvex support vector machine problems and nonconvex risk minimization program

Authors: Gonglin Yuan, Yingjie Zhou, Fanhua Shang et al.
Publication: Journal of Computational and Applied Mathematics
Published: Oct 1, 2026
Source: Crossref
Back to Search View Original Cite This Article

Related Articles

Heterogeneous Autoregressive Modeling with Flexible Cascade Structures

Huiling Yuan, Guodong Li et al. - Jan 2028

Read More
Bubble Modeling and Tagging: a Stochastic Nonlinear Autoregression Approach

Xuanling Yang, Dong Li et al. - Jan 2028

Read More
Application Analysis of Optimised Risk Management Utilising a Deep Learning Long Short-Term Memory Model

Yuanyuan Tong, Jie Wu - Jan 2027

Read More
Conditional Generative Adversarial Network for Individualized Causal Mediation Analysis with Survival Outcome

Cheng Huan, Xinyuan Song et al. - Jan 2027

Read More
Advanced deep learning ensemble framework for stock price prediction using variational mode decomposition, bidirectional long short-term memory, and attention mechanism

P. Gnanasekaran, M. Lavanya - Jan 2027

Read More