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» Choice as a principle in network architecture
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ICGA
1993
145views Optimization» more  ICGA 1993»
13 years 9 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
NIPS
1994
13 years 9 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
IJON
2008
116views more  IJON 2008»
13 years 7 months ago
Evolutionary ensemble of diverse artificial neural networks using speciation
Recently, many researchers have designed neural network architectures with evolutionary algorithms but most of them have used only the fittest solution of the last generation. To ...
Kyung-Joong Kim, Sung-Bae Cho
HOTNETS
2010
13 years 2 months ago
Using strongly typed networking to architect for tussle
Today's networks discriminate towards or against traffic for a wide range of reasons, and in response end users and their applications increasingly attempt to evade monitorin...
Chitra Muthukrishnan, Vern Paxson, Mark Allman, Ad...
SLIP
2006
ACM
14 years 1 months ago
The routability of multiprocessor network topologies in FPGAs
A fundamental difference between ASICs and FPGAs is that wires in ASICs are designed such that it matches the requirements of a particular design. Wire parameters such as: length...
Manuel Saldaña, Lesley Shannon, Paul Chow