We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
—In this paper, we introduce NNexus, a generalization of the automatic linking engine of Noosphere (at PlanetMath.org) and the first system that automates the process of linking...
In this paper we present a hybrid model for the demand acceptance variant of the routing and wavelength assignment problem in directed networks, an important benchmark problem in o...
We focus on automatically diagnosing different performance problems in parallel file systems by identifying, gathering and analyzing OS-level, black-box performance metrics on eve...
Michael P. Kasick, Jiaqi Tan, Rajeev Gandhi, Priya...
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...