Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

Abstract: In the contemporary landscape of computationally intensive applications, Computing Power Network (CPN) offers a solution to enhance computational efficiency and cost-effectiveness by ...

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...

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 ...

Abstract: Canonical Polyadic decomposition (CPD) obtains the low-rank approximation for high-order multidimensional tensors through the summation of a sequence of rank-one tensors, greatly reducing ...

The CL1 computer is the first in the world that combines human neurons with a silicon chip. It could be used in disease modeling and drug discovery before it expires after six months. When you ...

An analysis of leaf litter breakdown in climatically diverse habitats shows that decomposition by larger invertebrates dominates in hot, dry regions and warmer seasons. Researchers have shown that ...

ABSTRACT: This study compares the Adomian Decomposition Method (ADM) and the Variational Iteration Method (VIM) for solving nonlinear differential equations in engineering. Differential equations are ...

The new year is here and some of the tech sector’s biggest announcements are just around the corner. The Consumer Electronics Show (CES) takes place this week, and we will be hearing a lot more about ...

Although it’s hard to believe, given how ubiquitous it is today, cloud computing as a practical reality has only been around for the past decade or so. However, at that time, it revolutionized the ...