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» Problems of learning in multi-agent systems
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TWC
2008
120views more  TWC 2008»
15 years 4 months ago
Cooperation Enforcement and Learning for Optimizing Packet Forwarding in Autonomous Wireless Networks
In wireless ad hoc networks, autonomous nodes are reluctant to forward others' packets because of the nodes' limited energy. However, such selfishness and noncooperation ...
Charles Pandana, Zhu Han, K. J. Ray Liu
ICML
2006
IEEE
16 years 5 months ago
Bayesian pattern ranking for move prediction in the game of Go
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
David H. Stern, Ralf Herbrich, Thore Graepel
135
Voted
AI
2007
Springer
15 years 11 months ago
Competition and Coordination in Stochastic Games
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...
Andriy Burkov, Abdeslam Boularias, Brahim Chaib-dr...
135
Voted
AICCSA
2006
IEEE
121views Hardware» more  AICCSA 2006»
15 years 7 months ago
Software Defect Prediction Using Regression via Classification
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
124
Voted
LREC
2008
125views Education» more  LREC 2008»
15 years 6 months ago
Adaptation of Relation Extraction Rules to New Domains
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
Feiyu Xu, Hans Uszkoreit, Hong Li, Niko Felger