Application of Gaussian Processes in Regression and Classification Problems
Implementation of Gaussian Processes with Detailed Annotations for Regression and Classification Problems, Including Code Examples
Gaussian Process Constrained Spectral Clustering
Implementation code for "Constrained Spectral Clustering through Gaussian Process" by Lu Zhengdong from CVPR 2008, featuring directly executable algorithm with two demonstration examples
Gauss_generator: Parameter-Based Deterministic Real Gaussian Process Generation
Gauss_generator.m produces deterministic real Gaussian processes using parameters (Doppler shift, coefficients, phase shift). gaussian.m program determines discrete Doppler shifts, coefficients, and phase shifts. Rice_generator.m creates Rice processes by incorporating line-of-sight components into Rayleigh processes. Suzuki_generator.m generates deterministic Suzuki processes. Additional modules include Rayleigh_Doppler_multiPath.m, Rayleigh_Doppler_singlePath.m, rayleigh_Filter_Model.m, pdf_cdf_gen.m, test_rayleigh_
MATLAB Implementation of Gaussian Process for Regression and Classification
High-quality Gaussian process source code implementing regression and classification with probabilistic predictions, featuring clear kernel functions and covariance matrix computations
Gaussian Process State Space Model
State Space Modeling with Gaussian Processes
Gaussian Process Applications and Regression Analysis with MATLAB Implementation
MATLAB program for Gaussian Process applications and regression analysis with enhanced implementation guidance