This letter proposes a machine learning-based linear programming model that quickly establishes the nonparametric prediction intervals of wind power by integrating extreme learning machine and ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

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 wi ...

According to Figure 2, the minimum and maximum values of the power flow results, that is the interval results [V min,V max] V min, V max or [P ij,min,P ij,max] P i j, min, P i j, max for IPF ...

Abstract: This paper introduce a new criterion and two new linear regression methods to predict interval-valued data. The proposed approaches consist in a new point of view to study the relationship ...

Because of the matched study design, conditional logistic regression was used to examine primary associations of AI score, breast density measures (BI-RADS density, and log-transformed VPD%, DV), and ...

Article citations More>> Hoerl, A., Kennard, R. and Baldwin, K. (1975) Ridge Regression: Some Simulations. Communications in Statistics, 4, 105-123. has been cited by the following article: TITLE: ...