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NAACL
2010
13 years 8 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»
14 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»
13 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
14 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...
IPPS
2010
IEEE
13 years 7 months ago
Scalable parallel I/O alternatives for massively parallel partitioned solver systems
Abstract--With the development of high-performance computing, I/O issues have become the bottleneck for many massively parallel applications. This paper investigates scalable paral...
Jing Fu, Ning Liu, Onkar Sahni, Kenneth E. Jansen,...