Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

A Gaussian Process Regression-Based Multitarget Orientation Compensation Algorithm for Distance Measurement

Abstract: Low-cost radio-based distance measurement devices, (like) such as ultrawideband (UWB) and Zigbee, are limited by transmission power and environmental noise interference, resulting in bias ...
IEEE

Comparative Analysis of Accuracy For Predicting Earthquake Occurrence Using Linear Regression Over Poisson Regression

Abstract: In the context of earthquake prediction, the purpose of this study is to evaluate the accuracy of the Linear Regression Algorithm in comparison to Poisson regression. The linear regression ...