311 search results - page 45 / 63 » Gradient Convergence in Gradient methods with Errors |
PR
2007
13 years 7 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
LCN
2005
IEEE
14 years 1 months ago
2005
IEEE
— In this paper, we describe a novel localization method for ad hoc wireless sensor networks. Accurate selforganization and localization is an essential characteristic of high pe...
ICCV
1999
IEEE
14 years 9 months ago
1999
IEEE
A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving l...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract-- In this paper, we consider the distributed computation of equilibria arising in monotone stochastic Nash games over continuous strategy sets. Such games arise in setting...
HPCA
2008
IEEE
14 years 8 months ago
2008
IEEE
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...