Because the linear ridge regression training algorithm presented in this article inverts a matrix, the technique doesn't scale to problems with huge amounts of training data. In such situations, it is ...

A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used. The goal of a machine learning ...

This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Financial Mathematics and Statistics, BSc in Mathematics with Economics and BSc in ...

Nonlinear regression uses logarithmic functions, trigonometric functions, exponential ... on the form of the linear regression equation. Likewise, it’s possible to use algebra to transform ...

Under the hood: issues in the specification and interpretation of spatial regression models ... and R. K. Pace. 2004. Using matrix exponential to estimate spatial probit/tobit models. In A. Getis, J.