In this paper, we report on a study that was performed within the "Semantics of History" project on how descriptions of historical events are realized in different types...
The World Wide Web (WWW) has experienced a dramatic increase in popularity since 1993. Many reports indicate that its growth will continue at an exponential rate. This growth has ...
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
In this paper, we consider the problem of blind multiuser separation-equalization in the uplink of a wideband DS-CDMA system, in a multipath propagation environment with intersymbo...
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...