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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 9 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 3 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
69
Voted
ICSE
1999
IEEE-ACM
15 years 1 months ago
A Cooperative Approach to Support Software Deployment Using the Software Dock
Software deployment is an evolving collection of interrelated processes such as release, install, adapt, reconfigure, update, activate, deactivate, remove, and retire. The connect...
Richard S. Hall, Dennis Heimbigner, Alexander L. W...
TWC
2008
120views more  TWC 2008»
14 years 9 months ago
Cooperation Enforcement and Learning for Optimizing Packet Forwarding in Autonomous Wireless Networks
In wireless ad hoc networks, autonomous nodes are reluctant to forward others' packets because of the nodes' limited energy. However, such selfishness and noncooperation ...
Charles Pandana, Zhu Han, K. J. Ray Liu
100
Voted
IDMS
1999
Springer
143views Multimedia» more  IDMS 1999»
15 years 1 months ago
Quality of Service Management for Teleteaching Applications Using the MPEG-4/DMIF
In the context of distributed multimedia applications involving multicast to a large number of users, a single quality of service level may not be appropriate for all participants....
Gregor von Bochmann, Zhen Yang