Machine Learning, Python, Julia, Algorithms, R.
each set of data is then calculated as the negative of the Hessian matrix. Once the Fisher information matrices have been calculated for both sets of data, the next step is to construct the kernel function. This is done by taking the trace of the product of the inverse of the Fisher information