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NIPS
2007
14 years 11 months ago
Parallelizing Support Vector Machines on Distributed Computers
Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai...
92
Voted
ACL
2012
13 years 18 days ago
Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
Joern Wuebker, Hermann Ney, Richard Zens
EMNLP
2008
14 years 11 months ago
Predicting Success in Machine Translation
The performance of machine translation systems varies greatly depending on the source and target languages involved. Determining the contribution of different characteristics of l...
Alexandra Birch, Miles Osborne, Philipp Koehn
133
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WWW
2010
ACM
15 years 5 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
15 years 7 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme