311 search results - page 5 / 63 » Gradient Convergence in Gradient methods with Errors |
JMLR
2006
13 years 7 months ago
2006
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Conventional mutual information (MI)-based registration using pixel intensities is time-consuming and ignores spatial information, which can lead to misalignment. We propose a met...
JMLR
2010
13 years 2 months ago
2010
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...