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Volumn 1, Issue , 2003, Pages 351-358

Learning DFA: Evolution versus evidence driven state merging

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATA THEORY; LEARNING ALGORITHMS;

EID: 84901466138     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299597     Document Type: Conference Paper
Times cited : (37)

References (19)
  • 1
  • 2
    • 0000031372 scopus 로고
    • Toward a theory of evolution strategies: The (mue lambda)-theory
    • H.-G, Beyer, Toward a theory of evolution strategies: The (mue. lambda)-theory. Evolutionary Computation, 2(4):381-407. 1994.
    • (1994) Evolutionary Computation , vol.2 , Issue.4 , pp. 381-407
    • Beyer, H.-G.1
  • 4
    • 84997844259 scopus 로고
    • Regular grammatical inference from positive and negative samples by genetic search: The GIG method
    • Ft. C. Carrasco and J. Oncina, editors, Springer. Berlin. Heidelberg
    • P. Dupont. Regular grammatical inference from positive and negative samples by genetic search: The GIG method. In Ft. C. Carrasco and J. Oncina, editors, Grammatical Inference and Applications (ICGI-94), pages 236-245. Springer. Berlin. Heidelberg, 1994.
    • (1994) Grammatical Inference and Applications (ICGI-94) , pp. 236-245
    • Dupont, P.1
  • 5
    • 84959027544 scopus 로고
    • What is the search space of the regular inference?
    • R. C. Carrasco and J. Oncina. editors, Springer. Berlin. Heidelberg
    • P. Dupont, L. Miclet, and E. Vidal. What is the search space of the regular inference? In R. C. Carrasco and J. Oncina. editors. Grammatical Inference and Applications (ICGI-94), pages 25-37. Springer. Berlin. Heidelberg, 1994.
    • (1994) Grammatical Inference and Applications (ICGI-94) , pp. 25-37
    • Dupont, P.1    Miclet, L.2    Vidal, E.3
  • 6
    • 0000718697 scopus 로고
    • Higher order recurrent neural networks and grammatical inference
    • D, Touretzky, editor, Morgan Kaufman, San Mateo, CA
    • C, Giles, G. Sun. H. Chen. Y. Lee. and D. Chen, Higher order recurrent neural networks and grammatical inference. In D, Touretzky, editor. Advances in Neural Information Processing Systems 2. Morgan Kaufman, San Mateo, CA, (1990).
    • (1990) Advances in Neural Information Processing Systems 2
    • Giles, C.1    Sun, G.2    Chen, H.3    Lee, Y.4    Chen, D.5
  • 9
    • 84947908042 scopus 로고    scopus 로고
    • Results of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm
    • K. J. Lang, B. A. Pearlmutter, and R. A. Price. Results of the Abbadingo One DFA learning competition and a new evidence-driven state merging algorithm. Lecture Notes in Computer Science. 1433:1-12, 1998.
    • (1998) Lecture Notes in Computer Science , vol.1433 , pp. 1-12
    • Lang, K.J.1    Pearlmutter, B.A.2    Price, R.A.3
  • 11
    • 84901446547 scopus 로고    scopus 로고
    • Genetic
    • W. Banzhaf etal. editor, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, Morgan Kaufmann
    • S. Luke. S. Hamahashi, and H. Kitano. "Genetic" Programming. In W. Banzhaf etal. editor, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference. Morgan Kaufmann. 1999.
    • (1999) Programming
    • Luke, S.1    Hamahashi, S.2    Kitano, H.3
  • 12
    • 0001946219 scopus 로고
    • When will a genetic algorithm outperform hill climbing?
    • J. Cowan, G, Tesauro, and J, Alspector. editors, Morgan Kaufman. San Mateo. CA
    • M. Mitchell. J. Holland, and S. Forrest. When will a genetic algorithm outperform hill climbing? In J. Cowan, G, Tesauro, and J, Alspector. editors. Advances in Neural Information Processing Systems 6, pages 51-58, Morgan Kaufman. San Mateo. CA, 1994.
    • (1994) Advances in Neural Information Processing Systems 6 , pp. 51-58
    • Mitchell, M.1    Holland, J.2    Forrest, S.3
  • 13
    • 84974725549 scopus 로고    scopus 로고
    • Efficient search techniques for the inference of minimum size finite automata
    • A. L. Oliveira and J. P. M. Silva. Efficient search techniques for the inference of minimum size finite automata. In String Processing and Information Retrieval, pages 81-89, 1998.
    • (1998) String Processing and Information Retrieval , pp. 81-89
    • Oliveira, A.L.1    Silva, J.P.M.2
  • 14
    • 0027353425 scopus 로고
    • The minimum consistent DFA problem cannot be approximated within any polynomial
    • L. Pitt and M. Warmuth. The minimum consistent DFA problem cannot be approximated within any polynomial. Journal of the ACM. 40 (1). 1993.
    • (1993) Journal of the ACM , vol.40 , Issue.1
    • Pitt, L.1    Warmuth, M.2
  • 15
    • 35248859170 scopus 로고    scopus 로고
    • A simple but theoretically-motivated method to control bloat in genetic programming
    • R. Poli. A simple but theoretically-motivated method to control bloat in genetic programming. In Proceedings of 6th European Conference on Genetic Programming, pages 204-217. 2003.
    • (2003) Proceedings of 6th European Conference on Genetic Programming , pp. 204-217
    • Poli, R.1
  • 16
    • 85033056841 scopus 로고
    • Combinations of genetic algorithms and neural networks: A survey of the state of the art
    • D. Whitley and J. D. Schaffer, editors, IEEE Computer Society
    • J. D. Schaffer, D, Whitley, and L. J. Eshelman. Combinations of genetic algorithms and neural networks: a survey of the state of the art. In D. Whitley and J. D. Schaffer, editors. COGANN-92. Int. Workshop on Combinations of Genetic Algorithms and Neural Networks, pages 1-37. IEEE Computer Society, 1992.
    • (1992) COGANN-92. Int. Workshop on Combinations of Genetic Algorithms and Neural Networks , pp. 1-37
    • Schaffer, J.D.1    Whitley, D.2    Eshelman, L.J.3
  • 17
    • 0001770758 scopus 로고
    • Dynamic construction of finite automata from examples using hill climbing
    • M. Tomita. Dynamic construction of finite automata from examples using hill climbing. In Proc. of the 4th Annual Cognitive Science Conference, USA. pages 105-108. 1982.
    • (1982) Proc. of the 4th Annual Cognitive Science Conference, USA , pp. 105-108
    • Tomita, M.1
  • 19
    • 0000032536 scopus 로고
    • Induction of finite-state automata using second-order recurrent networks
    • J. Moody, S. Hanson. and R. Lippmann, editors, Morgan Kaufman, San Mateo, CA
    • R. Watrous and G. Kuhn. Induction of finite-state automata using second-order recurrent networks. In J. Moody, S. Hanson. and R. Lippmann, editors, Advances in Neural Information Processing Systems 4, pages 309-316. Morgan Kaufman, San Mateo, CA. 1992.
    • (1992) Advances in Neural Information Processing Systems , vol.4 , pp. 309-316
    • Watrous, R.1    Kuhn, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.