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IDA
2003
Springer
14 years 20 days ago
Regularization Methods for Additive Models
This paper tackles the problem of model complexity in the context of additive models. Several methods have been proposed to estimate smoothing parameters, as well as to perform var...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
CSDA
2006
145views more  CSDA 2006»
13 years 7 months ago
Improved predictions penalizing both slope and curvature in additive models
A new method is proposed to estimate the nonlinear functions in an additive regression model. Usually, these functions are estimated by penalized least squares, penalizing the cur...
Magne Aldrin
COLT
2001
Springer
13 years 12 months ago
Learning Additive Models Online with Fast Evaluating Kernels
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
Mark Herbster
ACISICIS
2007
IEEE
14 years 1 months ago
ORN Additive: Shrinking the Gap between Database Modeling and Implementation
ORN Additive is a prototype tool that was developed to show how the gap between database modeling and implementation can be reduced—more specifically, to show how associations d...
Bryon K. Ehlmann
JMLR
2012
11 years 10 months ago
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu