SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
Ivan Damnjanovic, Matthew E. P. Davies, Mark D. Pl...
In this paper we propose a new solution to increase the security of BGP/MPLS IP VPNs established across multiple domains. In general, layer 3 VPNs already present a number of secur...
Information dissemination is of vital importance in today's information-centric world. However, controlling the flow of information across multiple security domains is a probl...
We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...