—This paper studies the problem of understanding noisy and structurally deformed two-dimensional images by means of abstractly defined neural works. First, in the framework of sy...
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...
We formally define--at the stream transformer level--a class of synchronous circuits that tolerate any variability in the latency of their environment. We study behavioral properti...
Sava Krstic, Jordi Cortadella, Michael Kishinevsky...
Andrews et al. [Automatic method for hiding latency in high bandwidth networks, in: Proceedings of the ACM Symposium on Theory of Computing, 1996, pp. 257
Christos Kaklamanis, Danny Krizanc, Manuela Montan...