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ACL
2012
12 years 2 days ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
MOBIHOC
2012
ACM
12 years 3 days ago
Spatial spectrum access game: nash equilibria and distributed learning
A key feature of wireless communications is the spatial reuse. However, the spatial aspect is not yet well understood for the purpose of designing efficient spectrum sharing mecha...
Xu Chen, Jianwei Huang
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
12 years 2 days ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
MTSR
2007
Springer
14 years 3 months ago
Metadata for describing learning scenarios under the European Higher Education Area paradigm
In this paper we identify the requirements for creating formal descriptions of learning scenarios designed under the European Higher Education Area paradigm, using competences and ...
Ana-Elena Guerrero, Julià Minguillón...