168 search results - page 6 / 34 » Boosting ridge regression |
JMLR
2010
13 years 2 months ago
2010
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
ECWEB
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
CDC
2010
IEEE
12 years 11 months ago
2010
IEEE
—In this paper we study the overparametrization scheme for Hammerstein systems [1] in the presence of regularization. The quality of the convex approximation is analysed, that is...
NECO
2006
13 years 7 months ago
2006
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Consider the online regression problem where the dependence of the outcome yt on the signal xt changes with time. Standard regression techniques, like Ridge Regression, d...