Machine Learning, Python, Julia, Algorithms, R.
-E(X_hessian) # Calculate the Fisher information matrix for Y Y_params <- estimate_parameters(Y) Y_hessian <- calculate_hessian(Y, Y_params) Y_fisher <- -E(Y_hessian) # Calculate the kernel function kernel <- trace(solve(X_fisher) %*% Y_fisher) return(kernel) } Note that the above code examples are