G. Mahdi

Enhancement of Elastic-net Model via Stochastic Gradient Descent and Adam Optimization: Application to Prostate Cancer Data

Simulated data analysis showed that both Adam and SGD Elastic-net models produced more precise coefficient estimates with narrower confidence intervals, improving interpretability and robustness, and achieved faster convergence and lower residual errors, making them highly effective for high-dimensional datasets facing...