Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
—In many applications, it is a basic operation for the sink to periodically collect reports from all sensors. Since the data gathering process usually proceeds for many rounds, i...
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...
Abstract. Interpolation of field data from unstructured meshes requires the potentially expensive identification of the finite element or volume within which the interpolating poin...
Mahdieh Khoshniat, Gordan R. Stuhne, David A. Stei...
We describe a schema matching algorithm EXSMAL that automates the semantic correspondence discovery between the EDI (Electronic Data Interchange) messages of various standards (ED...