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Volumn 1891, Issue , 2000, Pages 229-240

Learning context-free grammars from partially structured examples

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT FREE GRAMMARS; GENETIC ALGORITHMS; INFERENCE ENGINES; LEARNING SYSTEMS;

EID: 84974705310     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45257-7_19     Document Type: Conference Paper
Times cited : (33)

References (7)
  • 2
    • 84997844259 scopus 로고
    • Regular grammatical inference from positive and negative samples by genetic search: The GIG method
    • LNAI 862, Springer-Verlag
    • P. Dupont. Regular grammatical inference from positive and negative samples by genetic search: the GIG method. Proceedings of Second International Colloquium on Grammatical Inference (ICGI-94) (LNAI 862, Springer-Verlag, 1994), 236-245.
    • (1994) Proceedings of Second International Colloquium on Grammatical Inference (ICGI-94) , pp. 236-245
    • Dupont, P.1
  • 3
    • 0001187706 scopus 로고
    • Complexity of automaton identification from given data
    • E. M. Gold. Complexity of automaton identification from given data. Information and Control, 37, 1978, 302-320.
    • (1978) Information and Control , vol.37 , pp. 302-320
    • Gold, E.M.1
  • 5
    • 0026839284 scopus 로고
    • Efficient learning of context-free grammars from positive structural examples
    • Y. Sakakibara. Efficient learning of context-free grammars from positive structural examples. Information and Computation, 97, 1992, 23-60.
    • (1992) Information and Computation , vol.97 , pp. 23-60
    • Sakakibara, Y.1
  • 6
    • 0031249196 scopus 로고    scopus 로고
    • Recent advances of grammatical inference
    • Y. Sakakibara. Recent advances of grammatical inference. Theoretical Computer Science, 185, 1997, 15-45.
    • (1997) Theoretical Computer Science , vol.185 , pp. 15-45
    • Sakakibara, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.