Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
JSTOR Daily

Semiparametric Regression with Kernel Error Model

We propose and study a class of regression models, in which the mean function is specified parametricaUy as in the existing regression methods, but the residual distribution is modelled ...
JSTOR Daily

Kernel-Type Estimators of Jump Points and Values of a Regression Function

In the fixed-design nonparametric regression model, kernel-type estimators of the locations of jump points and the corresponding sizes of jump values of the regression function are proposed. These ...