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Volumn 2010-July, Issue , 2010, Pages 504-513

Practical very large scale CRFs

Author keywords

[No Author keywords available]

Indexed keywords

CARDINALITIES; CHAIN MODELS; COMPUTATIONAL EFFORT; LABEL SETS; LARGE-SCALES; LINEAR CHAIN; PENALTY TERM; RANDOM FIELDS; SEQUENCE LABELING; SIMPLEST LINEAR;

EID: 85118436751     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (36)
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    • Liu, Dong C.1    Nocedal, Jorge2
  • 17
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    • Efficient large-scale distributed training of conditional maximum entropy models
    • Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A.Culotta, editors, pages
    • Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, and Dan Walker. 2009. Efficient large-scale distributed training of conditional maximum entropy models. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A.Culotta, editors, Advances in Neural Information Processing Systems 22, pages 1231-1239.
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 1231-1239
    • Mann, Gideon1    McDonald, Ryan2    Mohri, Mehryar3    Silberman, Nathan4    Walker, Dan5
  • 22
    • 1942418470 scopus 로고    scopus 로고
    • Grafting: Fast, incremental feature selection by gradient descent in function space
    • Simon Perkins, Kevin Lacker, and James Theiler. 2003. Grafting: Fast, incremental feature selection by gradient descent in function space. Journal of Machine Learning Research, 3:1333-1356.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1333-1356
    • Perkins, Simon1    Lacker, Kevin2    Theiler, James3
  • 25
    • 85117181888 scopus 로고    scopus 로고
    • Incremental feature selection and l1 regularization for relaxed maximum-entropy modeling
    • Dekang Lin and Dekai Wu, editors, pages Barcelona, Spain, July
    • Stefan Riezler and Alexander Vasserman. 2004. Incremental feature selection and l1 regularization for relaxed maximum-entropy modeling. In Dekang Lin and Dekai Wu, editors, Proceedings of the conference on Empirical Methods in Natural Language Processing, pages 174-181, Barcelona, Spain, July.
    • (2004) Proceedings of the conference on Empirical Methods in Natural Language Processing , pp. 174-181
    • Riezler, Stefan1    Vasserman, Alexander2
  • 30
    • 33750032384 scopus 로고    scopus 로고
    • An introduction to conditional random fields for relational learning
    • Lise Getoor and Ben Taskar, editors, Cambridge, MA. The MIT Press
    • Charles Sutton and Andrew McCallum. 2006. An introduction to conditional random fields for relational learning. In Lise Getoor and Ben Taskar, editors, Introduction to Statistical Relational Learning, Cambridge, MA. The MIT Press.
    • (2006) Introduction to Statistical Relational Learning
    • Sutton, Charles1    McCallum, Andrew2
  • 32
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Robert Tibshirani. 1996. Regression shrinkage and selection via the lasso. J.R.Statist.Soc.B, 58(1):267-288.
    • (1996) J.R.Statist.Soc.B , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, Robert1
  • 36
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • Hui Zhou and Trevor Hastie. 2005. Regularization and variable selection via the elastic net. J. Royal. Stat. Soc. B., 67(2):301-320.
    • (2005) J. Royal. Stat. Soc. B , vol.67 , Issue.2 , pp. 301-320
    • Zhou, Hui1    Hastie, Trevor2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.