1863 search results - page 281 / 373 » Multiagent learning using a variable learning rate |
126
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GLOBECOM
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper we discuss the design of optimization algorithms for cognitive wireless networks (CWNs). Maximizing the perceived network performance towards applications by selectin...
143
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AAAI
2010
15 years 4 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
129
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
In strategic multiagent decision making, it is often the case that a strategic reasoner must hold beliefs about other agents and use these beliefs to inform its decision making. T...
119
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ATAL
2009
Springer
15 years 9 months ago
2009
Springer
This paper describes the design, implementation, visualizations, results and lessons learned of a novel real-world socio-technical research system for the purpose of rescheduling ...
119
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NIPS
2004
15 years 3 months ago
2004
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...