132 search results - page 22 / 27 » Learning Adaptive Parameters with Restricted Genetic Optimiz... |
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
IJON
1998
13 years 8 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
GECCO
2006
Springer
14 years 2 days ago
2006
Springer
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...
PE
2008
Springer
13 years 8 months ago
2008
Springer
As the size of parallel computers increases, as well as the number of sources per router node, congestion inside the interconnection network rises significantly. In such systems, ...
AAIM
2005
Springer
13 years 10 months ago
2005
Springer
The idea of active networks has been emerged in recent years to increase the processing power inside the network. The intermediate nodes such as routers will be able to host mobile...