HOCT: A Highly Scalable Algorithm for Training Linear CRF on Modern Hardware
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[1] D K Smith,et al. Numerical Optimization , 2001, J. Oper. Res. Soc..
[2] Christopher Joseph Pal,et al. Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[3] Srinivasan Parthasarathy,et al. Cache-conscious Frequent Pattern Mining on a Modern Processor , 2005, VLDB.
[4] Trevor Cohn,et al. Scaling Conditional Random Fields Using Error-Correcting Codes , 2005, ACL.
[5] Anastasia Ailamaki,et al. Improving hash join performance through prefetching , 2004, Proceedings. 20th International Conference on Data Engineering.
[6] Fernando Pereira,et al. Shallow Parsing with Conditional Random Fields , 2003, NAACL.
[7] Trevor Cohn. Efficient Inference in Large Conditional Random Fields , 2006, ECML.
[8] Wei Li,et al. Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons , 2003, CoNLL.
[9] Todd C. Mowry,et al. Improving index performance through prefetching , 2001, SIGMOD '01.
[10] Pradeep Dubey,et al. Efficient implementation of sorting on multi-core SIMD CPU architecture , 2008, Proc. VLDB Endow..
[11] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.