Abstract: With its robust capabilities for non-linear regression and classification, kernel-based learning has emerged as a fundamental component of state-of-the-art machine learning approaches. In ...
Distributed Cauchy-Kernel-Based Maximum Correntropy Filter in Interconnected Multi-Area Power System
Abstract: This paper introduces a novel distributed Cauchy-kernel-based maximum correntropy filter designed to address the state estimation problem in multi-area power systems under non-Gaussian noise ...
This repository contains the source code used to produce the results obtained in Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection submitted to Journal of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback