메뉴 건너뛰기




Volumn 2, Issue , 2005, Pages 813-818

Semi-supervised sequence modeling with syntactic topic models

Author keywords

[No Author keywords available]

Indexed keywords

SEMI-SUPERVISED SEQUENCE MODELING; SEQUENCE MODELING; SYNTACTIC TOPIC MODELS;

EID: 29244455873     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (43)

References (12)
  • 4
    • 0028319529 scopus 로고
    • Representations of quasi-newton matrices and their use in limited memory methods
    • Byrd, R.; Nocedal, J.; and Schnabel, R. 1994. Representations of quasi-newton matrices and their use in limited memory methods. Mathematical Programming 63:129-156.
    • (1994) Mathematical Programming , vol.63 , pp. 129-156
    • Byrd, R.1    Nocedal, J.2    Schnabel, R.3
  • 7
    • 29344431862 scopus 로고    scopus 로고
    • A note on semi-supervised learning using markov random fields
    • Li, W., and McCallum, A. 2004. A note on semi-supervised learning using markov random fields. Technical Report.
    • (2004) Technical Report
    • Li, W.1    McCallum, A.2
  • 9
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • Nigam, K.; McCallum, A. K.; Thrun, S.; and Mitchell, T. M. 2000. Text classification from labeled and unlabeled documents using em. Machine Learning 39(2/3):103-134.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.K.2    Thrun, S.3    Mitchell, T.M.4
  • 12
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • Zhu, X.; Ghahramani, Z.; and Lafferty, J. 2003. Semi-supervised learning using gaussian fields and harmonic functions. In Proceedings of ICML.
    • (2003) Proceedings of ICML
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.