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...
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...
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 ...
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...
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...