IEEE

Matrix-Inversion-Free Sparse Bayesian Learning for High-Resolution Radar Imagery via Improved Variational Inference

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
IEEE

A Novel Evolutionary Bayesian Optimization Algorithm Based on Decomposition for Expensive Constrained Multiobjective Optimization Problems

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
Scientific Research Publishing

Predictors of Implant Breakage Following Intramedullary Nailing of Long Bone Fractures: A Systematic Review and Meta-Analysis ()

Intramedullary Nailing, Implant Failure, Long Bone Fractures, Subtrochanteric Fracture, Systematic Review Oyagbesan, O.S. (2026) Predictors of Implant Breakage Following Intramedullary Nailing of Long ...
GitHub

Stacking Variational Bayesian Monte Carlo (S-VBMC)

Stacking Variational Bayesian Monte Carlo (S-VBMC)[1] is a fast post-processing step for Variational Bayesian Monte Carlo (VBMC). VBMC is an approximate Bayesian inference technique that produces a ...