Abstract: This article presents an adaptive ridge regression (ARR)-based data-driven current prediction model aimed at enhancing robustness in permanent magnet synchronous motor (PMSM) drives.

Abstract: Random feature (RF) has been widely used for node consistency in decentralized kernel ridge regression (KRR). Currently, the consistency is guaranteed by imposing constraints on coefficients ...

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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 the kernel matrix inverse (Cholesky ...

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 ...

This project explores confidence levels in cryptocurrency predictions using Ridge Regression, a regularized linear modeling approach that addresses multicollinearity among features. By analyzing ...

I asked and answered a question about Regression in Stack Overflow. Here is a summary and question. I ran several regressions using pipeline and gridsearch. The winning regression was polynomial ridge ...

On May 7, 2023, the webcams went dark at Hurricane Ridge. Two National Park Service rangers drove up the switchbacks that lead to the highest road-accessible point in Olympic National Park and found a ...

In a candid interview, Garry Ridge, the former CEO of WD-40 Company, shared his wisdom gained from 35 years at the company, including 25 years as its chief executive. Ridge, who describes himself as ...