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cs.LG1999
An Introduction to Collective Intelligence
David H. Wolpert, Kagan Tumer
This paper surveys the emerging science of how to design a ``COllective INtelligence'' (COIN). A COIN is a large multi-agent system where: (i) There is little to no centralized com…
cs.LG1999
Robust Combining of Disparate Classifiers through Order Statistics
Kagan Tumer, Joydeep Ghosh
Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In the typical…
cs.LG1999
Using Collective Intelligence to Route Internet Traffic
David H. Wolpert, Kagan Tumer, Jeremy Frank
A COllective INtelligence (COIN) is a set of interacting reinforcement learning (RL) algorithms designed in an automated fashion so that their collective behavior optimizes a globa…