Abstract: This paper proposes a least square regularized regression algorithm in sum space of reproducing kernel Hilbert spaces (RKHSs) for nonflat function approximation, and obtains the solution of ...

Abstract: This paper presents the FOPDT model development of coffee roasting process in a hot air coffee roaster. In this study, Coffee beans from Ranau, Sabah, Malaysia were selected as the raw ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression ...

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics ...

New Jersey taxpayers will face an “unfortunate” financial impact of nearly $10 million due to a technical error on a bid for a major bridge repair project, the ...

Multicollinearity exists when there is a linear relationship ... is to use principal components analysis or partial least square regression instead of OLS regression, which can respectively ...

It is calculated by taking the differences between each number in the data set and the mean, squaring the differences to make them positive, and then dividing the sum of the squares by the number ...

This study examines 1495 publicly listed companies over the period 2016-2022 to assess whether higher ESG (environmental, social, and governance) scores are associated with greater cash dividend ...