Sciweavers

2829 search results - page 4 / 566
» Regularization Methods for Additive Models
Sort
View
CSDA
2006
145views more  CSDA 2006»
13 years 5 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
CVPR
2009
IEEE
15 years 1 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
CVPR
2000
IEEE
14 years 7 months ago
Curve and Surface Reconstruction from Regular and Non-Regular Point Sets
In this paper, we address the problem of curve and surface reconstruction from sets of points. We introduce regular interpolants which are polygonal approximations of planar curve...
Edmond Boyer, Sylvain Petitjean
NIPS
2007
13 years 7 months ago
SpAM: Sparse Additive Models
We present a new class of models for high-dimensional nonparametric regression and classification called sparse additive models (SpAM). Our methods combine ideas from sparse line...
Pradeep D. Ravikumar, Han Liu, John D. Lafferty, L...
SIAMIS
2008
141views more  SIAMIS 2008»
13 years 5 months ago
A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
Jianing Shi, Stanley Osher