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Shinohara, \u201cLearning pattern languages using queries,\u201d Proc. European Conf. on Computational Learning Theory (EuroCOLT&apos;97), LNAI, vol.1208, pp.185-197, Springer, Berlin, 1997. 10.1007\/3-540-62685-9_16","DOI":"10.1007\/3-540-62685-9_16"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] S. Lange and R. Wiehagen, \u201cPolynomial-time inference of arbitrary pattern languages,\u201d New Generation Computing, vol.8, no.4, pp.361-370, 1991. 10.1007\/bf03037093","DOI":"10.1007\/BF03037093"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] D. Angluin, \u201cLearning regular sets from queries and counterexamples,\u201d Information and Computation, vol.75, no.2, pp.87-106, 1987. 10.1016\/0890-5401(87)90052-6","DOI":"10.1016\/0890-5401(87)90052-6"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] J. Nessel and S. Lange, \u201cLearning erasing pattern languages with queries,\u201d Theoretical Computer Science, vol.348, no.1, pp.41-57, 2005. 10.1016\/j.tcs.2005.09.001","DOI":"10.1016\/j.tcs.2005.09.001"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] H. Sakamoto, K. Hirata, and H. Arimura, \u201cLearning elementary formal systems with queries,\u201d Theoretical Computer Science, vol.298, no.1, pp.21-50, 2003. 10.1016\/s0304-3975(02)00417-6","DOI":"10.1016\/S0304-3975(02)00417-6"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] H. Kato, S. Matsumoto, and T. Miyahara, \u201cLearning of elementary formal systems with two clauses using queries,\u201d IEICE Trans. Inf. &amp; Syst., vol.E92-D, no.2, pp.172-180, 2009. 10.1587\/transinf.e92.d.172","DOI":"10.1587\/transinf.E92.D.172"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] S. Matsumoto, T. Shoudai, T. Uchida, T. Miyahara, and Y. Suzuki, \u201cLearning of finite unions of tree patterns with internal structured variables from queries,\u201d IEICE Trans. Inf. &amp; Syst., vol.E91-D, no.2, pp.222-230, 2008. 10.1093\/ietisy\/e91-d.2.222","DOI":"10.1093\/ietisy\/e91-d.2.222"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] T. Uchida, S. Matsumoto, T. Shoudai, Y. Suzuki, and T. Miyahara, \u201cExact learning of primitive formal system defining labeled ordered tree languages via queries,\u201d IEICE Trans. Inf. &amp; Syst., vol.E101-D, no.3, pp.470-482, 2019. 10.1587\/transinf.2018fcp0011","DOI":"10.1587\/transinf.2018FCP0011"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] A. Nakamura, \u201cAn efficient query learning algorithm for ordered binary decision diagrams,\u201d Information and Computation, vol.201, no.2, pp.178-198, 2005. 10.1016\/j.ic.2005.05.003","DOI":"10.1016\/j.ic.2005.05.003"},{"key":"14","unstructured":"[14] H. Mizumoto, S. Todoroki, Diptarama, R. Yoshinaka, and A.Shinohara, \u201cAn efficient query learning algorithm for zero-suppressed binary decision diagrams,\u201d Proc. Machine Learning Research (ALT2017), vol.76, pp.1-12, 2017."},{"key":"15","unstructured":"[15] S. Matsumoto, T. Uchida, T. Shoudai, Y. Suzuki, and T. Miyahara, \u201cExact learning of regular pattern languages from one positive example using a linear number of membership queries,\u201d Proc. 27th International MultiConference of Engineers and Computer Scientists (IMECS2019), pp.204-209, 2019."},{"key":"16","unstructured":"[16] H. Arimura, R. Fujino, T. Shinohara, and S. Arikawa, \u201cProtein motif discovery from positive examples by minimal multiple generalization over regular patterns,\u201d Genome Informatics, vol.5, pp.39-48, 1994."},{"key":"17","unstructured":"[17] S. Shimozono, A. Shinohara, T. Shinohara, S. Miyano, S. Kuhara, and S. Arikawa, \u201cKnowledge acquisition from amino acid sequences by machine learning system BONSAI,\u201d Transactions of Information Processing Society of Japan, vol.35, no.10, pp.2009-2018, 1994."},{"key":"18","unstructured":"[18] T. Shoudai, M. Lappe, S. Miyano, A. Shinohara, T. Okazaki, S. Arikawa, T. Uchida, S. Shimozono, T. Shinohara, and S. Kuhara, \u201cBONSAI Garden: parallel knowledge discovery system for amino acid sequences,\u201d Proc. Third International Conference on Intelligent Systems for Molecular Biology, pp.359-366, 1995."},{"key":"19","unstructured":"[19] National Center for Biotechnology Information, NIH genetic sequence database. https:\/\/www.ncbi.nlm.nih.gov\/genbank\/, Sept. 2019."},{"key":"20","unstructured":"[20] Protein Information Resource (PIR). https:\/\/proteininformationresource.org\/pirwww\/, Sept. 2019."},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] K. Hattori, H. Yokono, and A. 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