406 search results - page 5 / 82 » New Learning Automata Based Algorithms for Adaptation of Bac... |
CVPR
1997
IEEE
14 years 9 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
TNN
2010
13 years 2 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
PPSN
1998
Springer
13 years 11 months ago
1998
Springer
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
One of the main dif culties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods...
ISCIS
2003
Springer
14 years 18 days ago
2003
Springer
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...