This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...

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 ...

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 stochastic gradient descent, one of two ...

ABSTRACT: We introduce the Kernel-based Partial Conditional Mean Dependence, a scalar-valued measure of conditional mean dependence of Y given X , while adjusting for the nonlinear dependence on Z .

Workflow of the Fisher kernel prediction approach. To generate a description of brain dynamics, we (1) concatenate all subjects’ individual timeseries; then (2) estimate a Hidden Markov Model (HMM) on ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Liver fibrosis is a progressive and potentially reversible condition that results from chronic liver damage, which can be caused by a variety of factors, including metabolic dysfunction-associated ...

Abstract: This paper introduces a novel kernel regression framework for data imputation, coined multilinear kernel regression and imputation via the manifold assumption (MultiL-KRIM). Motivated by ...

Large language models (LLMs) and image generators face a critical challenge known as model collapse. This phenomenon occurs when the performance of these AI systems deteriorates due to the increasing ...

In today’s world, a country’s economy is one of the most crucial foundations. However, industries’ financial operations depend on their ability to meet their electricity demands. Thus, forecasting ...