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» Problems of learning in multi-agent systems
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ATAL
2007
Springer
15 years 10 months ago
Regret based dynamics: convergence in weakly acyclic games
Regret based algorithms have been proposed to control a wide variety of multi-agent systems. The appeal of regretbased algorithms is that (1) these algorithms are easily implement...
Jason R. Marden, Gürdal Arslan, Jeff S. Shamm...
ATAL
2003
Springer
15 years 9 months ago
How to calm hyperactive agents
System performance in multi-agent resource allocation systems can often improve if individual agents reduce their activity. Agents in such systems need a way to modulate their ind...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
ICSM
1995
IEEE
15 years 8 months ago
Iterative reengineering to compensate for quick-fix maintenance
A typical approach to software maintenance is analyzing just the source code, applying some patches, releasing the new version, and then updating the documentation. This quick-fix...
Filippo Lanubile, Giuseppe Visaggio
PODC
2010
ACM
15 years 6 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom
CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
15 years 5 months ago
Context-dependent multi-class classification with unknown observation and class distributions with applications to bioinformatic
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
Alex S. Baras, John S. Baras