Abstract: A deep learning-based source number estimation method is presented in this article, where the deep generative adversarial network (GAN) combined with semi-supervised learning is applied, ...
Objective To clarify whether atherogenic index of plasma (AIP), a comprehensive indicator reflecting both the protective and ...
Deep Learning with Yacine on MSN
Building Multivariate Linear Regression in C++ — No Libraries, Just Code
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
Deep Learning with Yacine on MSN
How to Implement Linear Regression in C++ Step by Step
Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks ...
This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
Understanding temporal dynamics in tissue biology is key to linking transcriptomic snapshots to physiological function.
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...
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