메뉴 건너뛰기




Volumn 3, Issue January, 2014, Pages 2402-2410

Structure regularization for structured prediction

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SCIENCE;

EID: 84937951772     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (53)

References (25)
  • 1
    • 85162007328 scopus 로고    scopus 로고
    • A spectral regularization framework for multi-task structure learning
    • MIT Press
    • A. Argyriou, C. A. Micchelli, M. Pontil, and Y. Ying. A spectral regularization framework for multi-task structure learning. In Proceedings of NIPS'07. MIT Press, 2007.
    • (2007) Proceedings of NIPS'07
    • Argyriou, A.1    Micchelli, C.A.2    Pontil, M.3    Ying, Y.4
  • 3
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
    • M. Collins. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of EMNLP'02, pages 1-8, 2002.
    • (2002) Proceedings of EMNLP'02 , pp. 1-8
    • Collins, M.1
  • 4
    • 84860542469 scopus 로고    scopus 로고
    • A comparative study of parameter estimation methods for statistical natural language processing
    • J. Gao, G. Andrew, M. Johnson, and K. Toutanova. A comparative study of parameter estimation methods for statistical natural language processing. In Proceedings of ACL'07, pages 824-831, 2007.
    • (2007) Proceedings of ACL'07 , pp. 824-831
    • Gao, J.1    Andrew, G.2    Johnson, M.3    Toutanova, K.4
  • 6
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML'01, pages 282-289, 2001.
    • (2001) ICML'01 , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 10
    • 85162467517 scopus 로고    scopus 로고
    • Hogwild: A lock-free approach to parallelizing stochastic gradient descent
    • F. Niu, B. Recht, C. Re, and S. J. Wright. Hogwild: A lock-free approach to parallelizing stochastic gradient descent. In NIPS'11, pages 693-701, 2011.
    • (2011) NIPS'11 , pp. 693-701
    • Niu, F.1    Recht, B.2    Re, C.3    Wright, S.J.4
  • 12
    • 84867135840 scopus 로고    scopus 로고
    • Efficient decomposed learning for structured prediction
    • R. Samdani and D. Roth. Efficient decomposed learning for structured prediction. In ICML'12, 2012.
    • (2012) ICML'12
    • Samdani, R.1    Roth, D.2
  • 15
    • 84860520429 scopus 로고    scopus 로고
    • Guided learning for bidirectional sequence classification
    • L. Shen, G. Satta, and A. K. Joshi. Guided learning for bidirectional sequence classification. In Proceedings of ACL'07, 2007.
    • (2007) Proceedings of ACL'07
    • Shen, L.1    Satta, G.2    Joshi, A.K.3
  • 17
    • 84884810331 scopus 로고    scopus 로고
    • Large-scale personalized human activity recognition using online multitask learning
    • X. Sun, H. Kashima, and N. Ueda. Large-scale personalized human activity recognition using online multitask learning. IEEE Trans. Knowl. Data Eng., 25(11):2551-2563, 2013.
    • (2013) IEEE Trans. Knowl. Data Eng , vol.25 , Issue.11 , pp. 2551-2563
    • Sun, X.1    Kashima, H.2    Ueda, N.3
  • 18
    • 84910067653 scopus 로고    scopus 로고
    • Feature-frequency-adaptive online training for fast and accurate natural language processing
    • X. Sun, W. Li, H. Wang, and Q. Lu. Feature-frequency-adaptive online training for fast and accurate natural language processing. Computational Linguistics, 40(3):563-586, 2014.
    • (2014) Computational Linguistics , vol.40 , Issue.3 , pp. 563-586
    • Sun, X.1    Li, W.2    Wang, H.3    Lu, Q.4
  • 19
    • 84875857217 scopus 로고    scopus 로고
    • Fast online training with frequency-adaptive learning rates for Chinese word segmentation and new word detection
    • X. Sun, H. Wang, and W. Li. Fast online training with frequency-adaptive learning rates for chinese word segmentation and new word detection. In Proceedings of ACL'12, pages 253-262, 2012.
    • (2012) Proceedings of ACL'12 , pp. 253-262
    • Sun, X.1    Wang, H.2    Li, W.3
  • 20
    • 34547987363 scopus 로고    scopus 로고
    • Piecewise pseudolikelihood for efficient training of conditional random fields
    • ACM
    • C. A. Sutton and A. McCallum. Piecewise pseudolikelihood for efficient training of conditional random fields. In ICML'07, pages 863-870. ACM, 2007.
    • (2007) ICML'07 , pp. 863-870
    • Sutton, C.A.1    McCallum, A.2
  • 23
    • 79953810586 scopus 로고    scopus 로고
    • Structural regularized support vector machine: A framework for structural large margin classifier
    • H. Xue, S. Chen, and Q. Yang. Structural regularized support vector machine: A framework for structural large margin classifier. IEEE Transactions on Neural Networks, 22(4):573-587, 2011.
    • (2011) IEEE Transactions on Neural Networks , vol.22 , Issue.4 , pp. 573-587
    • Xue, H.1    Chen, S.2    Yang, Q.3
  • 24
    • 84938071203 scopus 로고    scopus 로고
    • Reranking for biomedical named-entity recognition
    • K. Yoshida and J. Tsujii. Reranking for biomedical named-entity recognition. In ACL Workshop on BioNLP, pages 209-216, 2007.
    • (2007) ACL Workshop on BioNLP , pp. 209-216
    • Yoshida, K.1    Tsujii, J.2
  • 25
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • M. Yuan and Y. Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society, Series B, 68:49-67, 2006.
    • (2006) Journal of the Royal Statistical Society, Series B , vol.68 , pp. 49-67
    • Yuan, M.1    Lin, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.