Sciweavers

188 search results - page 8 / 38
» Estimation error bounds for denoising by sparse approximatio...
Sort
View
UAI
2008
14 years 11 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
MOC
2010
14 years 4 months ago
Discontinuous Galerkin approximations of the Stokes and Navier-Stokes equations
Numerical schemes to compute approximate solutions of the evolutionary Stokes and Navier-Stokes equations are studied. The schemes are discontinuous in time and conforming in space...
Konstantinos Chrysafinos, Noel Walkington
JMLR
2012
13 years 4 days ago
Robust Multi-task Regression with Grossly Corrupted Observations
We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-est...
Huan Xu, Chenlei Leng
83
Voted
ICC
2007
IEEE
162views Communications» more  ICC 2007»
15 years 4 months ago
Effect of Non-Linearity on the Performance of a MIMO Zero-Forcing Receiver with Channel Estimation Errors
— Non-linear amplitude distortion may be the key impairment in some practical multiple-input multipleoutput (MIMO) communications systems. However, there are only a few past inve...
Edward K. S. Au, Wai Ho Mow
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario