Biochemical models that exhibit bistability are of interest to biologists and mathematicians alike. Chemical reaction network theory can provide sufficient conditions for the exist...
In this paper, we investigate how existing social networks can benefit P2P data networks by leveraging the inherent trust associated with social links. We present a trust model t...
The use of statically compiled search networks for ASR systems using huge vocabularies and complex language models often becomes challenging in terms of memory requirements. Dynam...
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
One of the challenges in building analytic performance models such as queuing network models is obtaining service demands for the various workloads and various devices. While some...