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

Distributed stochastic gradient descent (SGD) has attracted considerable recent attention due to its potential for scaling computational resources, reducing training time, and helping protect user ...

This paper investigated distributed robust estimation in sensor networks and introduced a distributed quantile regression algorithm based on the primal–dual hybrid gradient method.

Here, Skill Gradient Descent Algorithm based Convolutional Neural Network (SGDA-CNN) is developed for plant growth and Crop Yield Prediction (CYP) using satellite images. Initially, satellite is given ...

Using advanced proteomic technologies, we profiled over a thousand blood proteins tied to neurodegeneration, inflammation, and vascular dysfunction, which are key contributors to dementia." ...