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AAMAS
2005
Springer
15 years 3 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
CVPR
2007
IEEE
15 years 10 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
16 years 4 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
NIPS
2008
15 years 5 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
ESEM
2010
ACM
15 years 1 months ago
Exploring the use of crowdsourcing to support empirical studies in software engineering
The power and the generality of the findings obtained through empirical studies are bounded by the number and type of participating subjects. In software engineering, obtaining a ...
Kathryn T. Stolee, Sebastian G. Elbaum