693 search results - page 11 / 139 » Estimation in covariate-adjusted regression |
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
117
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IDEAL
2004
Springer
15 years 6 months ago
2004
Springer
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
JMLR
2010
14 years 8 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...
ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
106
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ICDM
2009
IEEE
15 years 8 months ago
2009
IEEE
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...