Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
This paper describes a tunably-difficult problem for genetic programming (GP) that probes for limits to building block mixing and assembly. The existence of such a problem can be ...
Jason M. Daida, Michael E. Samples, Matthew J. Byo...
In this paper, we describe our Computer Science Program Assessment (COMPASS) project. COMPASS uses open-source software tools to support the development and analysis of course por...
We generalise the optimisation technique of dynamic programming for discretetime systems with an uncertain gain function. We assume that uncertainty about the gain function is des...
—In this paper we propose the use of answer set programming (ASP) to model protein interaction networks. We argue that this declarative formalism rivals the popular boolean netwo...
Timur Fayruzov, Martine De Cock, Chris Cornelis, D...