IEEE

Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting

Abstract: Accurate forecasting of agricultural commodity prices is critical for economic stability and strategic decision-making, yet remains challenging owing to nonlinear dynamics and multifactorial ...
IEEE

Hybrid Kernel Function Enhanced Deep Gaussian Process for Wind Power Prediction

Abstract: As the global demand for renewable energy continues to grow, wind power, as a clean and sustainable form of energy, the accuracy of its generation power prediction is of great significance ...
INSPIRE

PGKET: A Photonic Gaussian Kernel Enhanced Transformer

Self-Attention Mechanisms (SAMs) enhance model performance by extracting key information but are inefficient when dealing with long sequences. To this end, a photonic Gaussian Kernel Enhanced ...
GitHub

A Variable Gaussian Kernel Scale Active Contour Model Based on Jeffreys Divergence for ICT Image Segmentation

This repository contains MATLAB implementations for the paper: A Variable Gaussian Kernel Scale Active Contour Model Based on Jeffreys Divergence for ICT Image Segmentation. In industrial computed ...
GitHub

Question on Reproducing the Statistical Analysis of Gaussian Kernel Parameters

First of all, thank you for your excellent work and for making the code publicly available. I've learned a lot from your project. The paper states that you collected ~40,000 images, transformed them ...