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NAACL
2010
14 years 7 months ago
Distributed Training Strategies for the Structured Perceptron
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
Ryan T. McDonald, Keith Hall, Gideon Mann
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 3 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
WINE
2010
Springer
143views Economy» more  WINE 2010»
14 years 7 months ago
Impersonation Strategies in Auctions
A common approach to analyzing repeated auctions, such as sponsored search auctions, is to treat them as complete information games, because it is assumed that, over time, players...
Ian A. Kash, David C. Parkes
ATAL
2007
Springer
15 years 4 months ago
Reinforcement learning in extensive form games with incomplete information: the bargaining case study
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Ni...
AGENTS
1997
Springer
15 years 2 months ago
RoboCup: The Robot World Cup Initiative
The Robot World Cup Initiative (RoboCup) is an attempt to foster AI and intelligent robotics research by providing a standard problem where wide range of technologies can be integ...
Hiroaki Kitano, Minoru Asada, Yasuo Kuniyoshi, Its...