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» Making a Case for Multi-Agent Systems
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156
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GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 8 months ago
Growth of self-canceling code in evolutionary systems
This research examines the behavior of inoperative code (introns) in the evolution of genetically robust solutions. Genetically robust solutions are solutions that are less likely...
Xue Zhong, Terence Soule
AIPS
2010
15 years 7 months ago
Shopper: A System for Executing and Simulating Expressive Plans
We present Shopper, a plan execution engine that facilitates experimental evaluation of plans and makes it easier for planning researchers to incorporate replanning. Shopper inter...
Robert P. Goldman, John Maraist
139
Voted
CVPR
2009
IEEE
16 years 11 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
OSDI
2002
ACM
16 years 4 months ago
TCP Nice: A Mechanism for Background Transfers
Many distributed applications can make use of large background transfers ? transfers of data that humans are not waiting for ? to improve availability, reliability, latency or con...
Arun Venkataramani, Ravi Kokku, Michael Dahlin
CCGRID
2008
IEEE
15 years 11 months ago
Reputation-Based Estimation of Individual Performance in Grids
Hidden information is a critical issue for the successful delivery of SLAs in grid systems. It arises when the agents (hardware and software resources) employed to serve a task be...
Thanasis G. Papaioannou, George D. Stamoulis