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ATAL
2009
Springer
15 years 7 months ago
Multiagent learning in large anonymous games
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern
89
Voted
SIGECOM
2004
ACM
135views ECommerce» more  SIGECOM 2004»
15 years 6 months ago
Applying learning algorithms to preference elicitation
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
Sébastien Lahaie, David C. Parkes
99
Voted
BIS
2008
152views Business» more  BIS 2008»
15 years 2 months ago
VIEW: A Framework for Interactive eLearning in a Virtual World
In the field of eLearning systems, several systems have been implemented in order to create a virtual university or virtual training center. By connecting several virtual universit...
Kamal Bijlani, P. Manoj, P. Venkat Rangan
112
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SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
15 years 2 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
135
Voted
AAAI
2006
15 years 2 months ago
Perspective Taking: An Organizing Principle for Learning in Human-Robot Interaction
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...
Matt Berlin, Jesse Gray, Andrea Lockerd Thomaz, Cy...