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Takeshi Shinohara :
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Takeshi Shinohara Some problems on inductive inference from positive data. [Citation Graph (0, 0)][DBLP ] Mathematical Methods of Specification and Synthesis of Software Systems, 1985, pp:41-58 [Conf ] Yen Kaow Ng , Takeshi Shinohara Inferring Unions of the Pattern Languages by the Most Fitting Covers. [Citation Graph (0, 0)][DBLP ] ALT, 2005, pp:269-282 [Conf ] Hiroki Arimura , Hiroki Ishizaka , Takeshi Shinohara Learning Unions of Tree Patterns Using Queries. [Citation Graph (0, 0)][DBLP ] ALT, 1995, pp:66-79 [Conf ] Hiroki Ishizaka , Hiroki Arimura , Takeshi Shinohara Efficient Inductive Inference of Primitive Prologs from Positive Data. [Citation Graph (0, 0)][DBLP ] ALT, 1992, pp:135-146 [Conf ] Hiroki Ishizaka , Hiroki Arimura , Takeshi Shinohara Finding Tree Patterns Consistent with Positive and Negative Examples Using Queries. [Citation Graph (0, 0)][DBLP ] AII/ALT, 1994, pp:317-332 [Conf ] Klaus P. Jantke , Takeshi Shinohara , Thomas Zeugmann Editor's Introduction. [Citation Graph (0, 0)][DBLP ] ALT, 1995, pp:0-0 [Conf ] Takeshi Shinohara Inductive Inference of Monotonic Formal Systems from Positive Data. [Citation Graph (0, 0)][DBLP ] ALT, 1990, pp:339-351 [Conf ] Takeshi Shinohara , Hiroki Arimura Inductive Inference of Unbounded Unions of Pattern Languages from Positive Data. [Citation Graph (0, 0)][DBLP ] ALT, 1996, pp:256-271 [Conf ] Arnoldo José Müller Molina , Takeshi Shinohara On approximate matching of programs for protecting libre software. [Citation Graph (0, 0)][DBLP ] CASCON, 2006, pp:275-289 [Conf ] Yusuke Shibata , Takuya Kida , Shuichi Fukamachi , Masayuki Takeda , Ayumi Shinohara , Takeshi Shinohara , Setsuo Arikawa Speeding Up Pattern Matching by Text Compression. [Citation Graph (0, 0)][DBLP ] CIAC, 2000, pp:306-315 [Conf ] Setsuo Arikawa , Takeshi Shinohara , Akihiro Yamamoto Elementary Formal System as a Unifying Framework for Language Learning. [Citation Graph (0, 0)][DBLP ] COLT, 1989, pp:312-327 [Conf ] Hiroki Arimura , Hiroki Ishizaka , Takeshi Shinohara Polynomial Time Inference of a Subclass of Context-Free Transformations. [Citation Graph (0, 0)][DBLP ] COLT, 1992, pp:136-143 [Conf ] Tatsuya Motoki , Takeshi Shinohara , Keith Wright The Correct Definition of Finite Elasticity: Corrigendum to Identification of Unions. [Citation Graph (0, 0)][DBLP ] COLT, 1991, pp:375- [Conf ] Takeshi Shinohara Inductive Inference from Positive Data is Powerful. [Citation Graph (0, 0)][DBLP ] COLT, 1990, pp:97-110 [Conf ] Yutaka Yamauchi , Makoto Yokozawa , Takeshi Shinohara , Toru Ishida Collaboration with Lean Media: how open-source software succeeds. [Citation Graph (0, 0)][DBLP ] CSCW, 2000, pp:329-338 [Conf ] Yen Kaow Ng , Hirotaka Ono , Takeshi Shinohara Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences. [Citation Graph (0, 0)][DBLP ] Discovery Science, 2005, pp:176-188 [Conf ] Takeshi Shinohara , Jiyuan An , Hiroki Ishizaka Approximate Retrieval of High-Dimensional Data by Spatial Indexing. [Citation Graph (0, 0)][DBLP ] Discovery Science, 1998, pp:141-149 [Conf ] Takeshi Shinohara , Jianping Chen , Hiroki Ishizaka H-Map: A Dimension Reduction Mapping for Approximate Retrieval of Multi-dimensional Data. [Citation Graph (0, 0)][DBLP ] Discovery Science, 1999, pp:299-305 [Conf ] Noriko Sugimoto , Hiroki Ishizaka , Takeshi Shinohara An Efficient Derivation for Elementary Formal Systems Based on Partial Unification. [Citation Graph (0, 0)][DBLP ] Discovery Science, 2001, pp:350-364 [Conf ] Takeshi Shinohara , Hiroki Ishizaka On Dimension Reduction Mappings for Approximate Retrieval of Multi-dimensional Data. [Citation Graph (0, 0)][DBLP ] Progress in Discovery Science, 2002, pp:224-231 [Conf ] Shuichi Fukamachi , Takeshi Shinohara Speed-Up of Approximate String Matching Using Lossy Compression. [Citation Graph (0, 0)][DBLP ] EJC, 2000, pp:262-263 [Conf ] Setsuo Arikawa , Satoru Kuhara , Satoru Miyano , Yasuhito Mukouchi , Ayumi Shinohara , Takeshi Shinohara A Machine Discovery from Amino Acid Sequences by Decision Trees over Regular Patterns. [Citation Graph (0, 0)][DBLP ] FGCS, 1992, pp:618-625 [Conf ] Takeshi Shinohara , Setsuo Arikawa Pattern Inference. [Citation Graph (0, 0)][DBLP ] GOSLER Final Report, 1995, pp:259-291 [Conf ] Fumihiro Matsuo , Shouichi Futamura , Takeshi Shinohara Efficient Storage and Retrieval of Very Large Document Databases. [Citation Graph (0, 2)][DBLP ] ICDE, 1986, pp:456-463 [Conf ] Yen Kaow Ng , Takeshi Shinohara Characteristic Sets for Inferring the Unions of the Tree Pattern Languages by the Most Fitting Hypotheses. [Citation Graph (0, 0)][DBLP ] ICGI, 2006, pp:307-319 [Conf ] Takayoshi Shoudai , Michael Lappe , Satoru Miyano , Ayumi Shinohara , Takeo Okazaki , Setsuo Arikawa , Tomoyuki Uchida , Shinichi Shimozono , Takeshi Shinohara , Satoru Kuhara BONSAI Garden: Parallel Knowledge Discovery System for Amino Acid Sequences. [Citation Graph (0, 0)][DBLP ] ISMB, 1995, pp:359-358 [Conf ] Setsuo Arikawa , Masako Sato , Ayumi Shinohara , Takeshi Shinohara Developments in Computational Learning and Discovery Theory within the Framework of Elementary Formal Systems. [Citation Graph (0, 0)][DBLP ] Machine Intelligence 15, 1995, pp:227-247 [Conf ] Hiroki Arimura , Takeshi Shinohara , Setsuko Otsuki , Hiroki Ishizaka A Generalization of the Least General Generalization. [Citation Graph (0, 0)][DBLP ] Machine Intelligence 13, 1994, pp:59-85 [Conf ] Setsuo Arikawa , Takeshi Shinohara , Satoru Miyano , Ayumi Shinohara More About Learning Elementary Formal Systems. [Citation Graph (0, 0)][DBLP ] Nonmonotonic and Inductive Logic, 1991, pp:107-117 [Conf ] Hiroki Arimura , Takeshi Shinohara , Setsuko Otsuki A Polynomial Time Algorithm for Finding Finite Unions of Tree Pattern Languages. [Citation Graph (0, 0)][DBLP ] Nonmonotonic and Inductive Logic, 1991, pp:118-131 [Conf ] Yen Kaow Ng , Takeshi Shinohara Finding Consensus Patterns in Very Scarce Biosequence Samples from Their Minimal Multiple Generalizations. [Citation Graph (0, 0)][DBLP ] PAKDD, 2006, pp:540-545 [Conf ] Takeshi Shinohara Polynomial Time Inference of Extended Regular Pattern Languages. [Citation Graph (0, 0)][DBLP ] RIMS Symposium on Software Science and Engineering, 1982, pp:115-127 [Conf ] Yoichiro Itakura , Makoto Yokozawa , Takeshi Shinohara Model Analysis of Digital Copyright Piracy on P2P Networks. [Citation Graph (0, 0)][DBLP ] SAINT Workshops, 2004, pp:84-89 [Conf ] T. Nishimura , Shuichi Fukamachi , Takeshi Shinohara Speed-up of Aho-Corasick Pattern Matching Machines by Rearranging States. [Citation Graph (0, 0)][DBLP ] SPIRE, 2001, pp:175-185 [Conf ] Masayuki Takeda , Satoru Miyamoto , Takuya Kida , Ayumi Shinohara , Shuichi Fukamachi , Takeshi Shinohara , Setsuo Arikawa Processing Text Files as Is: Pattern Matching over Compressed Texts, Multi-byte Character Texts, and Semi-structured Texts. [Citation Graph (0, 0)][DBLP ] SPIRE, 2002, pp:170-186 [Conf ] Hiroki Arimura , Takeshi Shinohara , Setsuko Otsuki Finding Minimal Generalizations for Unions of Pattern Languages and Its Application to Inductive Inference from Positive Data. [Citation Graph (0, 0)][DBLP ] STACS, 1994, pp:649-660 [Conf ] Hiroki Ishizaka , Hiroki Arimura , Takeshi Shinohara Finding Tree Patterns Consistent with Positive and Negative Examples Using Queries. [Citation Graph (0, 0)][DBLP ] Ann. Math. Artif. Intell., 1998, v:23, n:1-2, pp:101-115 [Journal ] Takeshi Shinohara Rich Classes Inferable from Positive Data: Length-Bounded Elementary Formal Systems [Citation Graph (0, 0)][DBLP ] Inf. Comput., 1994, v:108, n:2, pp:175-186 [Journal ] Satoru Kuhara , Fumihiro Matsuo , Shouichi Futamura , A. Fujita , Takeshi Shinohara , Toshihisa Takagi , Yasubumi Sakaki GENAS: a database system for nucleic acid sequence analysis. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 1984, v:12, n:1, pp:89-99 [Journal ] Setsuo Arikawa , Satoru Miyano , Ayumi Shinohara , Satoru Kuhara , Yasuhito Mukouchi , Takeshi Shinohara A Machine Discovery from Amino Acid Sequences by Decision Trees over Regular Patterns. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 1993, v:11, n:3, pp:361-375 [Journal ] Setsuo Arikawa , Takeshi Shinohara A Run-Time Efficient Realization of Aho-Corasick Pattern Matching Machines. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 1984, v:2, n:2, pp:171-186 [Journal ] Koichi Furukawa , Takeshi Shinohara , Yuji Takada Special Issue on Algorithmic Learning Theory. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 1994, v:12, n:4, pp:319-320 [Journal ] Satoru Miyano , Ayumi Shinohara , Takeshi Shinohara Polynomial-time Learning of Elementary Formal Systems. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 2000, v:18, n:3, pp:217-242 [Journal ] Takeshi Shinohara Inductive Inference of Monotonic Formal Systems from Positive Data. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 1991, v:8, n:4, pp:371-0 [Journal ] Takeshi Shinohara , Jiyuan An , Hiroki Ishizaka Approximate Retrieval of High-Dimensional Date with L1 Metric by Spacial Indexing. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 2000, v:18, n:1, pp:39-47 [Journal ] Setsuo Arikawa , Takeshi Shinohara , Akihiro Yamamoto Learning Elementary Formal Systems. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 1992, v:95, n:1, pp:97-113 [Journal ] Hiroki Arimura , Hiroki Ishizaka , Takeshi Shinohara Learning Unions of Tree Patterns Using Queries. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 1997, v:185, n:1, pp:47-62 [Journal ] Takeshi Shinohara , Hiroki Arimura Inductive inference of unbounded unions of pattern languages from positive data. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 2000, v:241, n:1-2, pp:191-209 [Journal ] On the Configuration of the Similarity Search Data Structure D-Index for High Dimensional Objects. [Citation Graph (, )][DBLP ] Accelerating Video Identification by Skipping Queries with a Compact Metric Cache. [Citation Graph (, )][DBLP ] A Tree Distance Function Based on Multi-sets. [Citation Graph (, )][DBLP ] Fast Approximate Matching of Programs for Protecting Libre/Open Source Software by Using Spatial Indexes. [Citation Graph (, )][DBLP ] Efficient pattern matching algorithms and their applications to text information systems. [Citation Graph (, )][DBLP ] Efficient Similarity Search by Reducing I/O with Compressed Sketches. [Citation Graph (, )][DBLP ] Search in 0.008secs, Finished in 0.010secs