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Volumn , Issue , 2002, Pages 17-24

An Incremental Decision List Learner

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS;

EID: 80053345255     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (17)
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    • Banko, M.1    Brill, E.2
  • 2
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    • Scaling to very very large corpora for natural language disambiguation
    • M. Banko and E. Brill. 2001b. Scaling to very very large corpora for natural language disambiguation. In ACL.
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    • Banko, M.1    Brill, E.2
  • 3
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    • Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging
    • E. Brill. 1995. Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging. Comp. Ling., 21(4):543–565.
    • (1995) Comp. Ling , vol.21 , Issue.4 , pp. 543-565
    • Brill, E.1
  • 4
    • 0033329799 scopus 로고    scopus 로고
    • An empirical study of smoothing techniques for language modeling
    • Stanley F. Chen and Joshua Goodman. 1999. An empirical study of smoothing techniques for language modeling. Computer Speech and Language, 13:359–394.
    • (1999) Computer Speech and Language , vol.13 , pp. 359-394
    • Chen, Stanley F.1    Goodman, Joshua2
  • 6
    • 70450125442 scopus 로고    scopus 로고
    • Coaxing confidences out of an old friend: Probabilistic classifications from transformation rule lists
    • R. Florian, J. C. Henderson, and G. Ngai. 2000. Coaxing confidences out of an old friend: Probabilistic classifications from transformation rule lists. In EMNLP.
    • (2000) EMNLP
    • Florian, R.1    Henderson, J. C.2    Ngai, G.3
  • 7
    • 0028460231 scopus 로고
    • Efficient distribution-free learning of probabilistic concepts
    • M. Kearns and R. Schapire. 1994. Efficient distribution-free learning of probabilistic concepts. Computer and System Sciences, 48(3):464–497.
    • (1994) Computer and System Sciences , vol.48 , Issue.3 , pp. 464-497
    • Kearns, M.1    Schapire, R.2
  • 8
    • 36149029495 scopus 로고
    • Learning algorithms with optimal stability in neural networks
    • W. Krauth and M. Mezard. 1987. Learning algorithms with optimal stability in neural networks. Journal of Physics A, 20:745–752.
    • (1987) Journal of Physics A , vol.20 , pp. 745-752
    • Krauth, W.1    Mezard, M.2
  • 9
    • 48649108596 scopus 로고
    • Induction of first-order decision lists: Results on learning the past tense of English verbs
    • R.J. Mooney and M.E. Califf. 1995. Induction of first-order decision lists: Results on learning the past tense of English verbs. In International Workshop on Inductive Logic Programming, pages 145–146.
    • (1995) International Workshop on Inductive Logic Programming , pp. 145-146
    • Mooney, R.J.1    Califf, M.E.2
  • 10
    • 85120618233 scopus 로고    scopus 로고
    • Transformation-based learning in the fast lane
    • G. Ngai and R. Florian. 2001. Transformation-based learning in the fast lane. In NA-ACL, pages 40–47.
    • (2001) NA-ACL , pp. 40-47
    • Ngai, G.1    Florian, R.2
  • 12
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    • Learning decision lists
    • R. Rivest. 1987. Learning decision lists. Machine Learning, 2(3):229–246.
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    • Rivest, R.1
  • 13
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    • Learning to resolve natural language ambiguities: A unified approach
    • Dan Roth. 1998. Learning to resolve natural language ambiguities: A unified approach. In AAAI-98.
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    • Roth, Dan1
  • 15
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    • Decision lists for lexical ambiguity resolution: Application to accent restoration in spanish and french
    • David Yarowsky. 1994. Decision lists for lexical ambiguity resolution: Application to accent restoration in spanish and french. In ACL, pages 88–95.
    • (1994) ACL , pp. 88-95
    • Yarowsky, David1
  • 16
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    • Hierarchical decision lists for word sense disambiguation
    • David Yarowsky. 2000. Hierarchical decision lists for word sense disambiguation. Computers and the Humanities, 34(2):179–186.
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    • Yarowsky, David1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.