Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
IEEE

Distributed Alternating Gradient Descent for Convex Semi-infinite Programs Over A Network

Abstract: This paper presents a first-order distributed algorithm for solving a convex semi-infinite program (SIP) over a time-varying network. In this setting, the objective function associated with ...
IEEE

ŶUGO: Enhancing Power Consumption Predictions in Data Centers through Combined Multiple Linear Regression and Gradient Boosting Techniques on Hypervisor Load

Abstract: Accurate power consumption prediction in data centers is critical for optimizing energy efficiency, but is fundamentally challenged by workloads exhibiting both linear and non-linear ...
Frontiers

Sliding down the socioeconomic health gradient of COVID-19 in New York City: multinomial regression analyses of disproportionate financial hardship for Black, Latino, and Asian ...

Background: Distinct socioeconomic gradients in COVID-19 outcomes were observed across the United States, so an evaluation of individual resident characteristics related to economic deprivation (race ...
GitHub

Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks

Abstract: Dynamic image degradations, including noise, blur and lighting inconsistencies, pose significant challenges in image restoration, often due to sensor limitations or adverse environmental ...