How to train a model for classification based on RBF kernel maximum mean discrepancy?

How to train a model based for classification based on RBF kernel based maximum mean discrepancy?

please give an example

Answer 1

[Vanshika Vaishnav]

Model-Based Calibration Toolbox™ provides a variety of radial basis functions (RBFs). Before using the RBFs to fit your model, try to fit your model with the default Gaussian Process model.

For more information, refer the following documentation:-

Radial Basis Functions for Model Building - MATLAB & Simulink - MathWorks India