—The development and deployment of distributed network-aware applications and services require the ability to compile and maintain a model of the underlying network resources wit...
General deviation measures are introduced and studied systematically for their potential applications to risk management in areas like portfolio optimization and engineering. Such...
R. Tyrrell Rockafellar, Stan Uryasev, Michael Zaba...
Entanglement is a complexity measure of directed graphs that origins in fixed point theory. This measure has shown its use in designing efficient algorithms to verify logical prop...
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
Building upon the 2-valued Layered Models semantics for normal programs, we introduce a refinement — the Layer Supported Models semantics — which, besides keeping all of LMs...