35 search results - page 5 / 7 » Regularization Learning and Early Stopping in Linear Network... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper introduces the sparse multilayer perceptron (SMLP) which learns the transformation from the inputs to the targets as in multilayer perceptron (MLP) while the outputs of...
ESANN
2004
13 years 8 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
CIKM
2011
Springer
12 years 7 months ago
2011
Springer
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...