Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Modern maps provide a variety of information about roads and their surrounding landscape allowing navigation systems to go beyond simple shortest path computation. In this demo, w...
Franz Graf, Hans-Peter Kriegel, Matthias Renz, Mat...
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
The firmware of an electronic voting machine is typically treated as a “trusted” component of the system. Consequently, it is misconstrued to be vulnerable only to an insider...
Seda Davtyan, Sotiris Kentros, Aggelos Kiayias, La...