Results 281 to 290 of about 3,667,438 (313)

New ridge regression, artificial neural networks and support vector machine for wind speed prediction

Advances in Engineering Software, 2023
Yun Zheng, Yisu Ge, Sami Muhsen, Shifeng Wang, Dalia H. Elkamchouchi, Elimam Ali, H. E. Ali   +6 more
semanticscholar   +1 more source

A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-kernel robust ridge regression

Renewable Energy, 2019
This paper presents a new hybrid multi-objective wind speed and wind power prediction interval forecasting (PIs) model which is the combination of variational mode decomposition (VMD), Multi-kernel robust ridge regression (MKRR) and a multi-objective ...
J. Naik, P. Dash, Snehamoy Dhar
semanticscholar   +1 more source

Ridge Regression: Biased Estimation for Nonorthogonal Problems

Technometrics, 2000
A. E. Hoerl, R. Kennard
semanticscholar   +1 more source

An Efficient Ridge Regression Algorithm with Parameter Estimation for Data Analysis in Machine Learning

SN Computer Science, 2022
M. Rajan
semanticscholar   +1 more source

Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain

Applied Energy, 2022
T. Carneiro, P. A. Rocha, P. Carvalho, Luis M. Fernández-Ramírez   +3 more
semanticscholar   +1 more source

ON THE CHOICE OF THE PARAMETER OF THE RIDGE REGRESSION

Far East Journal of Theoretical Statistics, 2015
Summary: Ridge regression, which defines a class of estimators indexed by a biasing parameter \(k\), is an alternative to the ordinary least squares (OLS) estimator in the multiple linear regression model. In this paper, the problem of choosing the biasing ridge regression parameter \(k\) is considered. Two methods of specifying \(k\) are proposed here
openaire   +2 more sources

Well logging curve reconstruction based on kernel ridge regression

Arabian Journal of Geosciences, 2021
Pengpeng Fan, R. Deng, Jinquan Qiu, Zhongliang Zhao, Shengli Wu   +4 more
semanticscholar   +1 more source

An intuitionistic fuzzy kernel ridge regression classifier for binary classification

Applied Soft Computing, 2021
Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah   +2 more
semanticscholar   +1 more source

A NOTE ON RIDGE REGRESSION

Decision Sciences, 1976
ABSTRACTThe purpose of this paper is to show that ridge regression is a special case of the class of mixed estimators. This derivation permits a convenient interpretation of the ridge constant. It also allows for a better understanding of the divergence between the theoretical results for the ridge estimator and recent sampling evidence, and suggests a
openaire   +1 more source

Fractional Ridge Regression

International Conference on Statistics: Theory and Applications
Leonard Stefanski
semanticscholar   +1 more source