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GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 9 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...
WCE
2007
15 years 5 months ago
On the Non-Gaussian Nature of Random Vehicle Vibrations
—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...
Vincent Rouillard
BMCBI
2008
127views more  BMCBI 2008»
15 years 4 months ago
Human Pol II promoter recognition based on primary sequences and free energy of dinucleotides
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 ...
BMCBI
2004
114views more  BMCBI 2004»
15 years 4 months ago
Extending the mutual information measure to rank inferred literature relationships
Background: Within the peer-reviewed literature, associations between two things are not always recognized until commonalities between them become apparent. These commonalities ca...
Jonathan D. Wren
NDSS
2009
IEEE
15 years 10 months ago
RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows
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...
Amir Houmansadr, Negar Kiyavash, Nikita Borisov