The continuous general linear group in n dimensions can be decomposed into two Lie groups: (1) an n(n-1) dimensional ‘Markov type’ Lie group that is defined by preserving the ...
In this paper, we re-visit the problem of unconditionally secure message transmission (USMT) from a sender S to a receiver R, who are part of a distributed synchronous network, mo...
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
We study the flow control and routing decisions of self-interested users in a general congested network where a single profit-maximizing service provider sets prices for different ...
We report new results on the corner classification approach to training feedforward neural networks. It is shown that a prescriptive learning procedure where the weights are simp...