Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Abstract: In this letter, a novel recursive total least squares (RTLS) algorithm that is grounded in a constrained Lagrange optimization of the errors-in-variables model is presented. The proposed ...
Abstract: The minimum error entropy (MEE) criterion closely relies on the quadratic information potential (QIP) estimates of Renyi’s entropy. Nevertheless, the ...