Network processors offer a new flexibility for network applications and reduce the time to market for data processing systems. In this paper, we describe the changed development p...
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at...
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
The integration of the telephone network and the internet enables convergence of voice and data services. The explosion of information appliances also provides new service opportun...
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...