311 search results - page 41 / 63 » Gradient Convergence in Gradient methods with Errors |
JMLR
2010
13 years 2 months ago
2010
The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
ISBI
2004
IEEE
14 years 8 months ago
2004
IEEE
Statistical reconstruction algorithms in transmission tomography yield improved images relative to the conventional FBP method. The most popular iterative algorithms for this prob...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
NN
2000
Springer
13 years 7 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
SIAMSC
2008
13 years 7 months ago
2008
In this paper we consider a finite element discretization of the Oldroyd-B model of viscoelastic flows. The method uses standard continuous polynomial finite element spaces for vel...