1863 search results - page 107 / 373 » Multiagent learning using a variable learning rate |
113
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AAMAS
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. There are many domains in which a multi-agent system needs to maximize a "system utility" function which rates the performance of the entire system, while subje...
177
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GLOBECOM
2009
IEEE
15 years 2 months ago
2009
IEEE
Abstract--Cooperative communications have been demonstrated to be effective in combating the multiple fading effects in wireless networks, and improving the network performance in ...
127
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ICALT
2005
IEEE
15 years 10 months ago
2005
IEEE
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
143
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
168
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AH
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. In this paper, we look at initial results of data mining students’ help-seeking behaviour in two ITSs: SQL-Tutor and EER-Tutor. We categorised help given by these tutor...