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1 Billion Instances, 1 Thousand Machines and 3.5 Hours
Daniel Walker
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Oznake: computer science;data mining
Training conditional maximum entropy models on massive data sets requires significant computational resources, but by distributing the computation, training time can be significant reduced. Recent theoretical results have demonstrated conditional maximum entropy models trained by weight mixtures of ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 1
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