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...
—This paper presents one of the outcomes of a research project concerned with the development of a method for synthesizing, under controlled conditions in the laboratory, the ran...
Background: Promoter region plays an important role in determining where the transcription of a particular gene should be initiated. Computational prediction of eukaryotic Pol II ...
Jian-Yi Yang, Yu Zhou, Zu-Guo Yu, Vo Anh, Li-Qian ...
Background: Within the peer-reviewed literature, associations between two things are not always recognized until commonalities between them become apparent. These commonalities ca...
Linking network flows is an important problem in intrusion detection as well as anonymity. Passive traffic analysis can link flows but requires long periods of observation to r...