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Volumn 4754 LNAI, Issue , 2007, Pages 227-241

Learning efficiency of very simple grammars from positive data

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; POLYNOMIALS;

EID: 38149007133     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75225-7_20     Document Type: Conference Paper
Times cited : (5)

References (14)
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    • Pitt, L.: Inductive inference, DFAs, and computational complexity. In: Jantke, K.P. (ed.) AII 1989. LNCS, vol. 397, pp. 18-44. Springer, Heidelberg (1989)
  • 2
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    • Polynomial-time inference of arbitrary pattern languages
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  • 3
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    • Characteristic sets for polynomial grammatical inference
    • de la Higuera, C.: Characteristic sets for polynomial grammatical inference. Machine Learning 27, 125-138 (1997)
    • (1997) Machine Learning , vol.27 , pp. 125-138
    • de la Higuera, C.1
  • 4
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    • Grammatical inference for even linear languages based on control sets
    • Takada, Y.: Grammatical inference for even linear languages based on control sets. Information Processing Letters 28, 193-199 (1988)
    • (1988) Information Processing Letters , vol.28 , pp. 193-199
    • Takada, Y.1
  • 5
    • 33646534596 scopus 로고    scopus 로고
    • Clark, A., Eyraud, R.: Identification in the limit of substitutable context-free languages. In: Jain, S., Simon, H.U., Tomita, E. (eds.) ALT 2005. LNCS (LNAI), 3734, pp. 283-296. Springer, Heidelberg (2005)
    • Clark, A., Eyraud, R.: Identification in the limit of substitutable context-free languages. In: Jain, S., Simon, H.U., Tomita, E. (eds.) ALT 2005. LNCS (LNAI), vol. 3734, pp. 283-296. Springer, Heidelberg (2005)
  • 6
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    • Polynomial-time identification of very simple grammars from positive data
    • Yokomori, T.: Polynomial-time identification of very simple grammars from positive data. Theoretical Computer Science 298, 179-206 (2003)
    • (2003) Theoretical Computer Science , vol.298 , pp. 179-206
    • Yokomori, T.1
  • 7
    • 22944440060 scopus 로고    scopus 로고
    • Wakatsuki, M., Teraguchi, K., Tomita, E.: Polynomial time identification of strict deterministic restricted one-counter automata in some class from positive data. In: Paliouras, G., Sakakibara, Y. (eds.) ICGI 2004. LNCS (LNAI), 3264, pp. 260-272. Springer, Heidelberg (2004)
    • Wakatsuki, M., Teraguchi, K., Tomita, E.: Polynomial time identification of strict deterministic restricted one-counter automata in some class from positive data. In: Paliouras, G., Sakakibara, Y. (eds.) ICGI 2004. LNCS (LNAI), vol. 3264, pp. 260-272. Springer, Heidelberg (2004)
  • 8
    • 33750285020 scopus 로고    scopus 로고
    • Yoshinaka, R.: Polynomial-time identification of an extension of very simple grammars from positive data. In: Sakakibara, Y., Kobayashi, S., Sato, K., Nishino, T., Tomita, E. (eds.) ICGI 2006. LNCS (LNAI), 4201, pp. 45-58. Springer, Heidelberg (2006)
    • Yoshinaka, R.: Polynomial-time identification of an extension of very simple grammars from positive data. In: Sakakibara, Y., Kobayashi, S., Sato, K., Nishino, T., Tomita, E. (eds.) ICGI 2006. LNCS (LNAI), vol. 4201, pp. 45-58. Springer, Heidelberg (2006)
  • 9
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    • Yokomori, T.: Erratum to Polynomial-time identification of very simple grammars from positive data [Theoret. Comput. Sci. 298 (2003) 179-206]. Theoretical Computer Science 377(1-3), 282-283 (2007)
    • Yokomori, T.: Erratum to Polynomial-time identification of very simple grammars from positive data [Theoret. Comput. Sci. 298 (2003) 179-206]. Theoretical Computer Science 377(1-3), 282-283 (2007)
  • 10
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    • On polynomial-time learnability in the limit of strictly deterministic automata
    • Yokomori, T.: On polynomial-time learnability in the limit of strictly deterministic automata. Machine Learning 19, 153-179 (1995)
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    • Finding patterns common to a set of strings
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    • (1993) IEICE transactions on information and systems , vol.E76-D , Issue.10 , pp. 1224-1233
    • Wakatsuki, M.1    Tomita, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.