Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
Previous work (M.I. Sereno, 1989; cf. M.E. Sereno, 1987) showed that a feedforward network with area V1-like input-layer units and a Hebb rule can develop area MT-like second laye...
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
As the network line rates reach 40 Gbps today and 100 Gbps in the near future, performing deep packet inspection (DPI) in the Network Intrusion Detection and Prevention Systems (NI...
As distributed storage systems grow, the response time between detection and repair of the error becomes significant. Systems built on shared servers have additional complexity be...
Justin M. Wozniak, Paul Brenner, Douglas Thain, Aa...