We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
The boundary between the network edge and the front-end servers of the data center is blurring. Appliance vendors are flooding the market with new capabilities, while switch/route...
Hemal V. Shah, Dave B. Minturn, Annie Foong, Gary ...
The problem of cooperatively performing a set of t tasks in a decentralized setting where the computing medium is subject to failures is one of the fundamental problems in distrib...
Chryssis Georgiou, Alexander Russell, Alexander A....
Interval Routing Schemes (IRS for short) have been extensively investigated in the past years with special emphasis on shortest paths. Besides their theoretical interest, IRS have...
Serafino Cicerone, Gabriele Di Stefano, Michele Fl...
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...