Can I read Kernel Ridge Regression in Clinical Research on EtoBox?

Kernel Ridge Regression in Clinical Research by Ton J. Cleophas, Aeilko H. Zwinderman is a nonfiction available to read on EtoBox.

What is Kernel Ridge Regression in Clinical Research about?

IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel regression method entitled Kernel Ridge Regression (KRR). It is an extension of the currently available regression methods, and is suitable for pattern recognition in high dimensional data, particularly, when alternative methods fail. Its theoretical advantages are plenty and include the kernel trick for reduced arithmetic complexity, estimation of uncertainty by Gaussians unlike histograms, corrected data-overfit by ridge regularization, availability of 8 alternative kernel density models for datafit. A very exciting and wide array of preliminary KRR research has already been published by major disciplines (like studies in quantum mechanics and nuclear physics, studies of molecular affinity / dynamics, atomisation energy studies, but also forecasting economics studies, IoT (internet of things) studies for e-networks, plant stress response studies, big data streaming studies, etc). In contrast, it is virtually unused in clinical research. This edition is the first textbook and tutorial of kernel ridge regressions for medical and healthcare students

Who reads Kernel Ridge Regression in Clinical Research?

Author

Ton J. Cleophas, Aeilko H. Zwinderman

Publisher

Springer International Publishing AG

Published

2022

Language

EN

ISBN

9783031107177

Category

nonfiction

Subjects

Management, Biology, Science