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MATLAB code for Gaussian Process-Based Regression Techniques

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Description

Gaussian-based regression is a strong, non-parametric Bayesian approach for solving the problems of regression techniques. 

Gaussian Process has become a good method for non-parametric modeling, especially for time series data, and for various modeling tasks.

 

MATLAB code for Gaussian Process-Based Regression Techniques

 

We did not use any MATLAB toolbox for the implementation of this code, we just use MATLAB basic programming.

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SKU: 8RVMBYS95 Category: