Abstract. This paper introduces the notion of the variadic neural network (VNN). The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n ...
Internet worms have repeatedly revealed the susceptibility of network hosts to malicious intrusions. Recent studies have proposed to employ the underlying principles of worm propa...
Until recently, ad hoc networks were mainly used for military and security-sensitive applications. Nowadays, they could also be used in SOHO (Small Office / Home Office) or home n...
Nicolas Prigent, Christophe Bidan, Jean-Pierre And...
Abstract--Network performance can be increased if the traditionally separated network layers are jointly optimized. Recently, network utility maximization has emerged as a powerful...
Hypercubic sorting networks are a class of comparator networks whose structure maps e ciently to the hypercube and any of its bounded degree variants. Recently, n-input hypercubic...