Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Data.
with adaptive learning(arXiv) Author : Alexander Mayer Abstract : Weak consistency and asymptotic normality of the ordinary least-squares estimator in a linear regression with adaptive learning is derived when the crucial, so-called, `gain’ parameter is estimated in a first step by nonlinear least