نتایج جستجو برای: ridge regression method

تعداد نتایج: 1900430  

Journal: :Computational Statistics & Data Analysis 2007
Gerhard Tutz Harald Binder

Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approaches to combining ridge regression with boosting techniques. In the direct approach the ridge estimator is used to fit iteratively the current residuals yielding an alternative to the usual ridge estimator. In partial b...

Journal: :Statistical analysis and data mining 2011
Ashin Mukherjee Ji Zhu

In multivariate linear regression, it is often assumed that the response matrix is intrinsically of lower rank. This could be because of the correlation structure among the prediction variables or the coefficient matrix being lower rank. To accommodate both, we propose a reduced rank ridge regression for multivariate linear regression. Specifically, we combine the ridge penalty with the reduced...

Journal: :Sri Lankan Journal of Applied Statistics 2014

Journal: :Pattern Recognition Letters 2011
Sujeevan Aseervatham Anestis Antoniadis Éric Gaussier Michel Burlet Yves Denneulin

The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with the main advantage of computing a probability value rather than a score. However, the dense solution of the ridge makes its use unpractical for large scale categorization. On the other side, LASSO regularization is ab...

2008
Karl Lin Jan Kmenta

T HE introduction by Hoerl and Kennard (1970) of a ridge regression estimator to deal with the problem of multicollinearity in regression has been followed by a large number of papers in the statistical literature. In the area of econometrics, though, the method of ridge regression has received little attention. I One of the reasons for the lack of interest in ridge regression on the part of th...

Journal: :Neural computation 2016
Saurabh Paul Petros Drineas

We introduce single-set spectral sparsification as a deterministic sampling-based feature selection technique for regularized least-squares classification, which is the classification analog to ridge regression. The method is unsupervised and gives worst-case guarantees of the generalization power of the classification function after feature selection with respect to the classification function...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه لرستان - دانشکده علوم پایه 1389

abstract part one: the electrode oxidation potentials of a series of eighteen n-hydroxy compounds in aqueous solution were calculated based on a proper thermodynamic cycle. the dft method at the level of b3lyp-6-31g(d,p) was used to calculate the gas-phase free energy differences ,and the polarizable continuum model (pcm) was applied to describe the solvent and its interaction with n-hydroxy ...

Journal: :Journal of Modern Applied Statistical Methods 2014

Journal: :Bulletin of Mathematical Statistics 1979

Journal: :Eastern-European Journal of Enterprise Technologies 2015

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