We present our work on building interactive continuous visualisations of distributed algorithms for educational purposes. The animations are comprised by a set of visualisation wi...
Boris Koldehofe, Marina Papatriantafilou, Philippa...
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
This paper combines the idea of a hierarchical distributed genetic algorithm with different interagent partnering strategies. Cascading clusters of sub-populations are built from ...
We describe our experiences in using Spin to verify parts of the Multi Purpose Daemon (MPD) parallel process management system. MPD is a distributed collection of processes connect...
Olga Shumsky Matlin, Ewing L. Lusk, William McCune
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...