3668 search results - page 203 / 734 » Margin Distribution and Learning |
176
click to vote
PAMI
2007
15 years 6 months ago
2007
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
204
click to vote
ICONIP
2007
15 years 8 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
185
click to vote
ICC
2007
IEEE
16 years 1 months ago
2007
IEEE
The Grid vision promises the secure and dynamic sharing of heterogeneous resources across the Internet. To date the emphasis has been on supercomputing scenarios where a relatively...
165
click to vote
ESANN
2003
15 years 8 months ago
2003
Martinetz and Schulten proposed the use of a Competitive Hebbian Learning (CHL) rule to build Topology Representing Networks. From a set of units and a data distribution, a link i...
167
click to vote
ALT
2010
Springer
15 years 8 months ago
2010
Springer
We show that random DNF formulas, random log-depth decision trees and random deterministic finite acceptors cannot be weakly learned with a polynomial number of statistical queries...