메뉴 건너뛰기




Volumn 7, Issue 10, 2008, Pages 1584-1593

Grammar-based classifier system: A universal tool for grammatical inference

Author keywords

DFA induction; Grammatical inference; Learning classifier systems; Machine learning; Natural language processing; Promoter recognition; Regular language induction

Indexed keywords

CLASSIFIERS; COMPUTATIONAL GRAMMARS; COMPUTATIONAL LINGUISTICS; CONTEXT FREE GRAMMARS; EDUCATION; FORMAL LANGUAGES; LEARNING SYSTEMS; LINGUISTICS; MODEL STRUCTURES; NUCLEIC ACIDS; ORGANIC ACIDS; QUERY LANGUAGES; ROBOT LEARNING;

EID: 59249095920     PISSN: 11092750     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (65)
  • 2
    • 0346884773 scopus 로고    scopus 로고
    • An alternative to indexed memory for evolving programs with explicit state representations
    • Koza J.R. et al eds, Morgan Kaufmann, San Francisco, CA
    • Angeline P.: An alternative to indexed memory for evolving programs with explicit state representations. In: Koza J.R. et al (eds.) Proc. 2nd Conf. Genetic Programming (GP97). Morgan Kaufmann, San Francisco, CA, 423-430 (1997)
    • (1997) Proc. 2nd Conf. Genetic Programming (GP97) , pp. 423-430
    • Angeline, P.1
  • 3
    • 0028202641 scopus 로고
    • All Evolutionary Algorithm that Constructs Recurrent Neural Networks
    • Angeline P., Saunders G.M., Pollack J.P.: All Evolutionary Algorithm that Constructs Recurrent Neural Networks. IEEE Trans. Neural Networks, vol. 5, no. 1, 54-65 (1994)
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.1 , pp. 54-65
    • Angeline, P.1    Saunders, G.M.2    Pollack, J.P.3
  • 4
    • 0003177228 scopus 로고
    • A note on the number of queries needed to identify regular languages
    • Angluin D.: A note on the number of queries needed to identify regular languages, Information and Control, 51, 76-87 (1981)
    • (1981) Information and Control , vol.51 , pp. 76-87
    • Angluin, D.1
  • 5
    • 0000710299 scopus 로고
    • Queries and concept learning
    • Angluin D.: Queries and concept learning. Machine Learning 2(4), 319-342 (1988)
    • (1988) Machine Learning , vol.2 , Issue.4 , pp. 319-342
    • Angluin, D.1
  • 7
    • 26444481919 scopus 로고    scopus 로고
    • Learning Grammatical Rules from Examples Using a Credit Assignment Algorithm
    • Nagoya
    • Bianchi D.: Learning Grammatical Rules from Examples Using a Credit Assignment Algorithm. In: Proc. of The First Online Workshop on Soft Computing (WSCI), 113-118. Nagoya (1996)
    • (1996) Proc. of The First Online Workshop on Soft Computing (WSCI) , pp. 113-118
    • Bianchi, D.1
  • 8
    • 15444350252 scopus 로고    scopus 로고
    • Blattner F., Plunkett G., Bloch C., Perna N., Burland V., Riley M., Collado-Vides J., Glasner J., Rode C., Mayhew G. et al. (eds.) The complete genome sequence of Escherichia coli k-12. Science 277, 1453-1462 (1997)
    • Blattner F., Plunkett G., Bloch C., Perna N., Burland V., Riley M., Collado-Vides J., Glasner J., Rode C., Mayhew G. et al. (eds.) The complete genome sequence of Escherichia coli k-12. Science 277, 1453-1462 (1997)
  • 9
    • 25444469991 scopus 로고    scopus 로고
    • Bongard J., Lipson H.: Active Coevolutionary Learning of Deterministic Finite Automata, J. of Machine Learning Research, 6, 1651-1678 (2005)
    • Bongard J., Lipson H.: Active Coevolutionary Learning of Deterministic Finite Automata, J. of Machine Learning Research, 6, 1651-1678 (2005)
  • 11
    • 0026756312 scopus 로고
    • Grammatical model of the regulation of gene expression
    • Collado-Vides J.: Grammatical model of the regulation of gene expression. In: Proc. Natl Acad. Sci. USA, 89, 9405-9409 (1992)
    • (1992) Proc. Natl Acad. Sci. USA , vol.89 , pp. 9405-9409
    • Collado-Vides, J.1
  • 12
  • 13
    • 84880832127 scopus 로고    scopus 로고
    • Incremental regular inference
    • Miclet L, de la Higuera C, eds, Proc. 3rd ICGI-96, Springer
    • Dupont P.: Incremental regular inference. In: Miclet L., de la Higuera C. (eds.) Proc. 3rd ICGI-96, LNAI, vol. 1147, 222-237. Springer (1996)
    • (1996) LNAI , vol.1147 , pp. 222-237
    • Dupont, P.1
  • 16
    • 0000718697 scopus 로고
    • Higher order Recurrent Neural Networks and Grammatical Inference
    • Touretzky D, ed, San Mateo, Calif: Morgan Kaufman
    • Giles C., Sun G., Chen H., Lee Y., Chen D.: Higher order Recurrent Neural Networks and Grammatical Inference. In: Touretzky D. (ed.) Advances in Neural Information Processing Systems 2, 380-387. San Mateo, Calif: Morgan Kaufman (1990)
    • (1990) Advances in Neural Information Processing Systems , vol.2 , pp. 380-387
    • Giles, C.1    Sun, G.2    Chen, H.3    Lee, Y.4    Chen, D.5
  • 17
    • 49949150022 scopus 로고
    • Language identification in the limit
    • Gold E.: Language identification in the limit. Information Control 10, 447-474 (1967)
    • (1967) Information Control , vol.10 , pp. 447-474
    • Gold, E.1
  • 18
    • 41849086324 scopus 로고    scopus 로고
    • ILSGInf - An Inductive Learning System for Grammatical Inference, WSEAS Trans. on Computers
    • Hamdi-Cherif C., Hamdi-Cherif A.: ILSGInf - An Inductive Learning System for Grammatical Inference, WSEAS Trans. on Computers, 7(6), 991-996 (2007)
    • (2007) , vol.7 , Issue.6 , pp. 991-996
    • Hamdi-Cherif, C.1    Hamdi-Cherif, A.2
  • 19
    • 84877736042 scopus 로고    scopus 로고
    • de la Higuera C.: Current trends in grammatical inference. In: Ferri F.J. et al (eds.) Advances in Pattern Recognition. Joint IAPR International Workshops. SSPR+SPR'2000, LNCS, 1876, 28-31. Springer (2000)
    • de la Higuera C.: Current trends in grammatical inference. In: Ferri F.J. et al (eds.) Advances in Pattern Recognition. Joint IAPR International Workshops. SSPR+SPR'2000, LNCS, vol. 1876, 28-31. Springer (2000)
  • 20
    • 0011656690 scopus 로고
    • Adaptation
    • Rosen R, Snell F.M, eds, Plenum, New York
    • Holland J.: Adaptation. In: Rosen R., Snell F.M. (eds.) Progress in theoretical biology. Plenum, New York (1976)
    • (1976) Progress in theoretical biology
    • Holland, J.1
  • 21
    • 0000746883 scopus 로고
    • Escaping Brittleness: The possibilities of General-Purpose Learning Algorithms Applied to Parallel Rule-Based Systems
    • Michalski R.S. et al, eds, Morgan Kaufmann
    • Holland J.: Escaping Brittleness: The possibilities of General-Purpose Learning Algorithms Applied to Parallel Rule-Based Systems. In: Michalski R.S. et al. (eds.) Machine Learning, an Artificial Intelligence Approach, vol. II, 593-623. Morgan Kaufmann (1986)
    • (1986) Machine Learning, an Artificial Intelligence Approach , vol.2 , pp. 593-623
    • Holland, J.1
  • 28
    • 84947908042 scopus 로고    scopus 로고
    • Results of the Abbadingo One DFA Learning Competition and a New Evidence Driven State Merging Algorithm
    • Proc. Int. Colloquium on Grammatical Inference ICGA-98, Springer, Berlin, Heidelberg
    • Lang K., Pearlmutter B., Price R.: Results of the Abbadingo One DFA Learning Competition and a New Evidence Driven State Merging Algorithm. In: Proc. Int. Colloquium on Grammatical Inference ICGA-98, LNAI, vol. 1433, Springer, Berlin, Heidelberg, 1-12 (1998)
    • (1998) LNAI , vol.1433 , pp. 1-12
    • Lang, K.1    Pearlmutter, B.2    Price, R.3
  • 29
    • 0008130870 scopus 로고    scopus 로고
    • A Roadmap to the Last Decade of Learning Classifier System Research
    • Springer Verlag
    • Lanzi P.L., Riolo R.L.: A Roadmap to the Last Decade of Learning Classifier System Research. In: LNAI, vol. 1813, 33-62. Springer Verlag (2000)
    • (2000) LNAI , vol.1813 , pp. 33-62
    • Lanzi, P.L.1    Riolo, R.L.2
  • 30
    • 1542381997 scopus 로고    scopus 로고
    • Learning of Context-Free Languages: A Survey of the Literature
    • Report TR-12-96, Harvard University, Cambridge, Massachusetts
    • Lee L., Learning of Context-Free Languages: A Survey of the Literature. Report TR-12-96, Harvard University, Cambridge, Massachusetts (1996)
    • (1996)
    • Lee, L.1
  • 31
    • 0035067938 scopus 로고    scopus 로고
    • Basic gene grammars and DNA-chart parser for language processing of Escherichia coli promoter DNA sequences
    • Leung S.W., Mellish C., Robertson D.: Basic gene grammars and DNA-chart parser for language processing of Escherichia coli promoter DNA sequences. Bioinformatics 17, 226-236 (2001)
    • (2001) Bioinformatics , vol.17 , pp. 226-236
    • Leung, S.W.1    Mellish, C.2    Robertson, D.3
  • 32
    • 59249084254 scopus 로고    scopus 로고
    • Oxford University Press, Oxford
    • Lewin B.: Genes VH. Oxford University Press, Oxford (2000)
    • (2000) Genes VH
    • Lewin, B.1
  • 35
    • 51249166569 scopus 로고
    • Promoter search and strength of a promoter: Two important means for regulation of gene expression in Escherichia coli
    • Mishra R., Chatterji D.: Promoter search and strength of a promoter: two important means for regulation of gene expression in Escherichia coli. J. Biosci. 18 1-11 (1993)
    • (1993) J. Biosci , vol.18 , pp. 1-11
    • Mishra, R.1    Chatterji, D.2
  • 36
    • 0003408496 scopus 로고
    • Department of Information and Computer Science, University of California at Irvine, Irvine, CA
    • Murphy P.M., Aha D.W.: UCI Repository of Machine Learning Databases. Department of Information and Computer Science, University of California at Irvine, Irvine, CA (1992)
    • (1992) UCI Repository of Machine Learning Databases
    • Murphy, P.M.1    Aha, D.W.2
  • 37
    • 0002655021 scopus 로고
    • Inferring regular languages in polynomial update time
    • Perez N. et al, eds, Singapore, World Scientific
    • Oncina J., Garcià P.: Inferring regular languages in polynomial update time. In: Perez N. et al. (eds.) Pattern recognition and image analysis. Singapore, World Scientific, 49-61 (1992)
    • (1992) Pattern recognition and image analysis , pp. 49-61
    • Oncina, J.1    Garcià, P.2
  • 38
    • 0026628288 scopus 로고
    • Escherichia coli promoters: Neural networks develop distinct descriptions in learning to search for promoters of different spacing classes
    • O'Neill M.: Escherichia coli promoters: neural networks develop distinct descriptions in learning to search for promoters of different spacing classes. Nucleic Acids Res. 20, 3471-3477 (1992)
    • (1992) Nucleic Acids Res , vol.20 , pp. 3471-3477
    • O'Neill, M.1
  • 39
    • 0004787268 scopus 로고
    • A solution of the syntactic induction-inference problem for regular languages
    • Pao T., Carr J.: A solution of the syntactic induction-inference problem for regular languages. Computer Languages, 3, 53-64 (1978)
    • (1978) Computer Languages , vol.3 , pp. 53-64
    • Pao, T.1    Carr, J.2
  • 40
    • 84958968064 scopus 로고    scopus 로고
    • An incremental interactive approach for regular grammar inference
    • Proc, 3rd ICGI-96, Springer, Berlin, Heidelberg
    • Parekh R.G., Honavar V.G.: An incremental interactive approach for regular grammar inference. In: Proc, 3rd ICGI-96, LNAI, vol. 1147, Springer, Berlin, Heidelberg, 238-250 (1996)
    • (1996) LNAI , vol.1147 , pp. 238-250
    • Parekh, R.G.1    Honavar, V.G.2
  • 41
    • 0019012878 scopus 로고
    • Definite clause grammars for language analysis
    • Pereira F., Warren D.: Definite clause grammars for language analysis. Artif. Intell, 13, 231-278 (1980)
    • (1980) Artif. Intell , vol.13 , pp. 231-278
    • Pereira, F.1    Warren, D.2
  • 42
    • 85037549689 scopus 로고
    • Inductive inference, DFAs and computational complexity
    • Proc. Int. Workshop on Analogical and Inductive Inference, Springer, London, UK
    • Pitt L.: Inductive inference, DFAs and computational complexity. In: Proc. Int. Workshop on Analogical and Inductive Inference, LNAI, vol. 397, Springer, London, UK, 18-44 (1989)
    • (1989) LNAI , vol.397 , pp. 18-44
    • Pitt, L.1
  • 43
    • 0027353425 scopus 로고
    • The Minimum Consistent DFA Problem Cannot Be Approximated within Any Polynomial
    • Pitt L., Warmuth M.: The Minimum Consistent DFA Problem Cannot Be Approximated within Any Polynomial. J. ACM, vol. 40, no. 1, 95-142 (1993)
    • (1993) J. ACM , vol.40 , Issue.1 , pp. 95-142
    • Pitt, L.1    Warmuth, M.2
  • 44
    • 0002645349 scopus 로고
    • Learning automata from ordered examples
    • Porat F., Feldman J.: Learning automata from ordered examples. Machine Learning, 7, 109-138 (1991)
    • (1991) Machine Learning , vol.7 , pp. 109-138
    • Porat, F.1    Feldman, J.2
  • 48
    • 0030821916 scopus 로고    scopus 로고
    • Linguistic approaches to biological sequences
    • Searls D.: Linguistic approaches to biological sequences. Bioinformatics 13, 333-344 (1997)
    • (1997) Bioinformatics , vol.13 , pp. 333-344
    • Searls, D.1
  • 49
    • 0002027776 scopus 로고
    • Using neural networks to refine existing biological knowledge
    • Shavlik J., Towell G., Noordewier M.: Using neural networks to refine existing biological knowledge. Int. J. Genome Res. 1, 81-107 (1992)
    • (1992) Int. J. Genome Res , vol.1 , pp. 81-107
    • Shavlik, J.1    Towell, G.2    Noordewier, M.3
  • 51
    • 43149103140 scopus 로고    scopus 로고
    • ROC analysis: Applications to the classification of biological sequences and 3D structures
    • doi:10.1093/bib/bbm064
    • Sonego P., Kocsor A., Pongor S.: ROC analysis: applications to the classification of biological sequences and 3D structures. Briefings in Bioinformatics, doi:10.1093/bib/bbm064 (2008)
    • (2008) Briefings in Bioinformatics
    • Sonego, P.1    Kocsor, A.2    Pongor, S.3
  • 52
    • 0008137816 scopus 로고    scopus 로고
    • An Introduction to Anticipatory Classifier Systems
    • Springer-Verlag
    • Stolzmann W.: An Introduction to Anticipatory Classifier Systems. In: LNAI, vol. 1813, 175-194. Springer-Verlag (2000)
    • (2000) LNAI , vol.1813 , pp. 175-194
    • Stolzmann, W.1
  • 53
    • 0001770758 scopus 로고
    • Dynamic construction of finite automata from examples using hill climbing
    • USA
    • Tomita M.: Dynamic construction of finite automata from examples using hill climbing. In: Proc. 4th Annual Cognitive Science Conf., USA, 105-108 (1982)
    • (1982) Proc. 4th Annual Cognitive Science Conf , pp. 105-108
    • Tomita, M.1
  • 54
    • 0027678679 scopus 로고
    • Extracting refined rules from knowledge-based neural networks
    • Towell G., Shavlik J.: Extracting refined rules from knowledge-based neural networks. Machine Learning 13, 71-101 (1993)
    • (1993) Machine Learning , vol.13 , pp. 71-101
    • Towell, G.1    Shavlik, J.2
  • 55
    • 26444577396 scopus 로고    scopus 로고
    • Context-free grammar induction using evolutionary methods, WSEAS Trans. on Circuits and Systems
    • Unold O.: Context-free grammar induction using evolutionary methods, WSEAS Trans. on Circuits and Systems, 3(2), 632-637 (2003)
    • (2003) , vol.3 , Issue.2 , pp. 632-637
    • Unold, O.1
  • 56
    • 37848998917 scopus 로고    scopus 로고
    • Context-free grammar induction with grammar-based classifier system. Archives of Control Science
    • LI 4
    • Unold O.: Context-free grammar induction with grammar-based classifier system. Archives of Control Science, vol. 15 (LI) 4, 681-690 (2005)
    • (2005) , vol.15 , pp. 681-690
    • Unold, O.1
  • 57
    • 26444447031 scopus 로고    scopus 로고
    • Unold O.: Playing a toy-grammar with GCS. In: Mira J, acAlvarez J.R. (eds.) IWINAC 2005. LNCS, 3562, 300-309. Springer Verlag (2005)
    • Unold O.: Playing a toy-grammar with GCS. In: Mira J, acAlvarez J.R. (eds.) IWINAC 2005. LNCS, vol. 3562, 300-309. Springer Verlag (2005)
  • 58
    • 38049105731 scopus 로고    scopus 로고
    • Learning classifier system approach to natural language grammar induction
    • Shi Y. et al, eds, ICCS 2007, Part II
    • Unold O.: Learning classifier system approach to natural language grammar induction. In: Shi Y. et al. (eds.) ICCS 2007, Part II, LNCS, vol. 4488, 1210-1213 (2007)
    • (2007) LNCS , vol.4488 , pp. 1210-1213
    • Unold, O.1
  • 59
    • 38049033796 scopus 로고    scopus 로고
    • Grammar-based classifier system for recognition of promoter regions
    • Beliczynski B. et al, eds, ICANNGA07, Part I
    • Unold O.: Grammar-based classifier system for recognition of promoter regions. In: Beliczynski B. et al. (eds.) ICANNGA07, Part I, LNCS, vol. 4431, 798-805 (2007)
    • (2007) LNCS , vol.4431 , pp. 798-805
    • Unold, O.1
  • 60
    • 38049019226 scopus 로고    scopus 로고
    • Grammar-based Classifier System
    • Hryniewicz O. et al, eds, Paradigms. EXIT Publishing House, Warsaw
    • Unold O., Cielecki L.: Grammar-based Classifier System. In: Hryniewicz O. et al. (eds.) Issues in Intelligent Systems: Paradigms. EXIT Publishing House, Warsaw, 273-286 (2005)
    • (2005) Issues in Intelligent Systems , pp. 273-286
    • Unold, O.1    Cielecki, L.2
  • 61
    • 37849031924 scopus 로고    scopus 로고
    • Use of learning classifier system for inferring natural language grammar
    • Abraham A et al, eds, Amsterdam, IOS Press
    • Unold O., Dabrowski G.: Use of learning classifier system for inferring natural language grammar. In: Abraham A et al. (eds.) Design and application of hybrid intelligent. Amsterdam, IOS Press, 272-278 (2003)
    • (2003) Design and application of hybrid intelligent , pp. 272-278
    • Unold, O.1    Dabrowski, G.2
  • 62
    • 0000032536 scopus 로고
    • Induction of finite state automata using second-order recurrent networks
    • Moody J. et al, eds, Morgan Kaufmann, San Francisco, CA
    • Waltrous R., Kuhn G.: Induction of finite state automata using second-order recurrent networks. In: Moody J. et al. (eds.) Advances in Neural Information Processing 4. Morgan Kaufmann, San Francisco, CA, 309-316 (1992)
    • (1992) Advances in Neural Information Processing , vol.4 , pp. 309-316
    • Waltrous, R.1    Kuhn, G.2
  • 63
    • 0001387704 scopus 로고
    • Classifier Fitness Based on Accuracy
    • Wilson S.W.: Classifier Fitness Based on Accuracy. Evolutionary Computation 3 (2), 147-175 (1995)
    • (1995) Evolutionary Computation , vol.3 , Issue.2 , pp. 147-175
    • Wilson, S.W.1
  • 64
    • 59249107017 scopus 로고    scopus 로고
    • Q-learning based on hierarchical evolutionary mechanism, WSEAS Trans. on Systems and Control
    • Yoshikawa M., Kihira T., Terai H.: Q-learning based on hierarchical evolutionary mechanism, WSEAS Trans. on Systems and Control, 3(3), 219-228 (2008)
    • (2008) , vol.3 , Issue.3 , pp. 219-228
    • Yoshikawa, M.1    Kihira, T.2    Terai, H.3
  • 65
    • 26444453786 scopus 로고
    • Recognition and parsing of context-free languages in time n3
    • Department of Computer Science
    • Younger D.: Recognition and parsing of context-free languages in time n3. University of Hawaii Technical Report, Department of Computer Science (1967)
    • (1967) University of Hawaii Technical Report
    • Younger, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.