Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Frontiers

Mapping stability and instability hotspots in Jiangsu’s vegetation: an explainable machine learning approach to climatic and anthropogenic drivers

Understanding vegetation stability is essential for evaluating ecosystem resilience and informing adaptive land management under changing climatic conditions. This study investigated the ...
Frontiers

Nonlinear kernel-based fMRI activation detection

1 Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States 2 Department of Psychology and Neuroscience, University of Colorado, Boulder, CO, United States Kernel Canonical ...
Scientific Research Publishing

Evans, L. (1990). Weak Convergence Methods for Nonlinear Partial Differential Equations. American Mathematical Society.

ABSTRACT: In this article, we consider the conserved phase-field model based on microconcentrations. In particular, we prove the well-posedness to this model and then prove the convergence of the ...
IEEE

Quality-Driven Orthogonal Kernel Subspace Analysis Method for Fault Detection of Nonlinear Industrial Processes

Abstract: Kernel theory-based methods are widely used in modeling and fault detection for nonlinear systems. Among these, kernel partial least squares (KPLS) and kernel canonical correlation analysis ...