Machine Learning, Python, Julia, Algorithms, R.
statistical model. It is defined as the negative of the expected value of the Hessian matrix of the log-likelihood function, which measures the curvature of the log-likelihood function at a given point. The Fisher Kernel Algorithm works by constructing a linear classifier that separates the data