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NECO
2007
150views more  NECO 2007»
13 years 8 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
EWSN
2007
Springer
14 years 8 months ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl
EWSN
2006
Springer
14 years 8 months ago
f-MAC: A Deterministic Media Access Control Protocol Without Time Synchronization
Nodes in a wireless network transmit messages through a shared medium. Thus, a Media Access Control (MAC) protocol is necessary to regulate and coordinate medium access. For some a...
André M. Barroso, Cormac J. Sreenan, Utz Ro...
ICRA
2008
IEEE
143views Robotics» more  ICRA 2008»
14 years 3 months ago
Pattern generators with sensory feedback for the control of quadruped locomotion
— Central Pattern Generators (CPGs) are becoming a popular model for the control of locomotion of legged robots. Biological CPGs are neural networks responsible for the generatio...
Ludovic Righetti, Auke Jan Ijspeert
IPPS
2005
IEEE
14 years 2 months ago
Maximizing the Lifetime of Dominating Sets
We investigate the problem of maximizing the lifetime of wireless ad hoc and sensor networks. Being battery powered, nodes in such networks have to perform their intended task und...
Thomas Moscibroda, Roger Wattenhofer
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