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AAMAS
2005
Springer
13 years 7 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
IJCAI
1997
13 years 9 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
SOCIALCOM
2010
13 years 5 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang
VLDB
2001
ACM
110views Database» more  VLDB 2001»
14 years 3 days ago
Comparing Hybrid Peer-to-Peer Systems
“Peer-to-peer” systems like Napster and Gnutella have recently become popular for sharing information. In this paper, we study the relevant issues and tradeoffs in designing a...
Beverly Yang, Hector Garcia-Molina
PPOPP
2011
ACM
12 years 10 months ago
ScalaExtrap: trace-based communication extrapolation for spmd programs
Performance modeling for scientific applications is important for assessing potential application performance and systems procurement in high-performance computing (HPC). Recent ...
Xing Wu, Frank Mueller