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TKDE
2012
190views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Scalable Learning of Collective Behavior
—This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Fl...
Lei Tang, Xufei Wang, Huan Liu
ICNC
2005
Springer
14 years 1 months ago
A Time-Series Decomposed Model of Network Traffic
: Traffic behavior in a large-scale network can be viewed as a complicated non-linear system, so it is very difficult to describe the long-term network traffic behavior in a large-...
Guang Cheng, Jian Gong, Wei Ding 0001
NN
2000
Springer
148views Neural Networks» more  NN 2000»
13 years 7 months ago
Anxiety-like behavior in rats: a computational model
This work describes a neural network model of the rat exploratory behavior in the elevated plus-maze, a test used to study anxiety. It involves three parameters: drive to explore;...
Cristiane Salum, Silvio Morato, Antônio C. R...
ICRA
2009
IEEE
207views Robotics» more  ICRA 2009»
13 years 5 months ago
Bayesian network-based behavior control for skilligent robots
A Skilligent robot must be able to learn skills autonomously to accomplish a task. "Skilligence" is the capacity of the robot to control behaviors reasonably, based on th...
Sang Hyoung Lee, Il Hong Suh
AINTEC
2006
Springer
13 years 11 months ago
Modeling Mobility with Behavioral Rules: The Case of Incident and Emergency Situations
Mobility models must scale accordingly to the application and reflect real scenarios in which wireless devices are deployed. Typical examples of scenarios requiring precise mobilit...
Franck Legendre, Vincent Borrel, Marcelo Dias de A...