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SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
14 years 2 months ago
Towards proximity pattern mining in large graphs
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...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
SIGMOD
2010
ACM
202views Database» more  SIGMOD 2010»
14 years 2 months ago
PAROS: pareto optimal route selection
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...
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
14 years 2 months ago
Investigating whether hyperNEAT produces modular neural networks
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...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 2 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
SAC
2009
ACM
14 years 2 months ago
Taking total control of voting systems: firmware manipulations on an optical scan voting terminal
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...