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142
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ATAL
2009
Springer
15 years 9 months ago
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
James Pita, Manish Jain, Fernando Ordó&ntil...
123
Voted
CIARP
2009
Springer
15 years 9 months ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...
116
Voted
SIGCOMM
2009
ACM
15 years 9 months ago
Modeling and understanding end-to-end class of service policies in operational networks
Business and economic considerations are driving the extensive use of service differentiation in Virtual Private Networks (VPNs) operated for business enterprises today. The resul...
Yu-Wei Eric Sung, Carsten Lund, Mark Lyn, Sanjay G...
112
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CCGRID
2008
IEEE
15 years 9 months ago
On the Optimization of Resource Utilization in Distributed Multimedia Applications
—The application and research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and...
R. Yang, Robert D. van der Mei, D. Roubos, Frank J...
105
Voted
ATAL
2007
Springer
15 years 9 months ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa