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» Adaptation and Incentive Design in Large Scale Task Systems
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AAMAS
2006
Springer
13 years 5 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
14 years 5 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
BMCBI
2006
137views more  BMCBI 2006»
13 years 5 months ago
GOPET: A tool for automated predictions of Gene Ontology terms
Background: Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These method...
Arunachalam Vinayagam, Coral del Val, Falk Schuber...