Abstract
The recent results of the research into construction of syntactic pattern recognition-based expert systems are presented. The model of syntactic pattern recognition has been defined with the use of GDPLL(k) grammars and parsers, and the model has been successfully applied as an efficient tool for inference support in several expert systems. Nevertheless, one of the main problems of practical application of GDPLL(k) grammars consists in difficulties in defining the grammar from the sample of a pattern language. In the paper we present the first achievement in the field of grammatical inferencing of GDPLL(k) grammars: an algorithm of automatic construction of a GDPLL(k) grammar from a so-called polynomial specification of the language.
This work was supported by the Polish State Committee for Scientific Research (KBN) under Grant No. 3 T11C 054 26.
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References
Alquezar, R., Sanfeliu, A.: Recognition and learning of a class of context-sensitive languages described by augmented regular expressions. Pattern Recognition 30(1), 163–182 (1997)
Behrens, U., Flasiński, M., Hagge, L., Jurek, J., Ohrenberg, K.: Recent developments of the ZEUS expert system ZEX. IEEE Trans. Nucl. Sci. NS-43, 65–68 (1996)
Flasiński, M., Jurek, J.: Dynamically Programmed Automata for Quasi Context Sensitive Languages as a Tool for Inference Support in Pattern Recognition-Based Real-Time Control Expert Systems. Pattern Recognition 32(4), 671–690 (1999)
Flasiński, M., Reroń, E., Jurek, J., Wójtowicz, P., Atłasiewicz, K.: Mathematical linguistics model for medical diagnostics of organ of hearing in neonates. Accepted for publication in Lecture Notes in Computer Science (LNAI)
Fu, K.S.: Syntactic Pattern Recognition and Applications. Prentice Hall, Englewood Cliffs (1982)
Higuera De La, C.: Current Trends in Grammatical Inference. In: Amin, A., Pudil, P., Ferri, F., Iñesta, J.M. (eds.) SPR 2000 and SSPR 2000. LNCS, vol. 1876, pp. 28–31. Springer, Heidelberg (2000)
Jurek, J.: On the Linear Computational Complexity of the Parser for Quasi Context Sensitive Languages. Pattern Recognition Letters (21), 179–187 (2000)
Jurek, J.: The Generalised Model of DPLL(k) Automata for Applications in Real-Time Expert Systems. In: Proc. 3rd Conf. On Computer Recognition Systems, KOSYR 2003, Miłków, Poland, May 26-29, 321–326 (2003)
Sakakibara, Y.: Recent Advances of Grammatical Inference. Theoretical Computer Science 185(1), 15–45 (1997)
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Jurek, J. (2004). Towards Grammatical Inferencing of GDPLL(k) Grammars for Applications in Syntactic Pattern Recognition-Based Expert Systems. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_91
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DOI: https://doi.org/10.1007/978-3-540-24844-6_91
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