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Yasubumi Sakakibara :
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Yuji Takada , Kunihiko Hiraishi , Yasubumi Sakakibara Exact Learning of Semilinear Sets. [Citation Graph (0, 0)][DBLP ] ALT, 1990, pp:314-324 [Conf ] Yasubumi Sakakibara Occam Algorithms for Learning From Noisy Examples. [Citation Graph (0, 0)][DBLP ] ALT, 1990, pp:193-208 [Conf ] Yasubumi Sakakibara Grammatical Inference: An Old and New Paradigm. [Citation Graph (0, 0)][DBLP ] ALT, 1995, pp:1-24 [Conf ] Yasubumi Sakakibara , Klaus P. Jantke , Steffen Lange Learning Languages by Collecting Cases and Tuning Parameters. [Citation Graph (0, 0)][DBLP ] AII/ALT, 1994, pp:532-546 [Conf ] Yuji Kawada , Yasubumi Sakakibara Discriminative Detection of Cis-Acting Regulatory Variation From Location Data. [Citation Graph (0, 0)][DBLP ] APBC, 2006, pp:89-98 [Conf ] Satoshi Kobayashi , Takashi Yokomori , Yasubumi Sakakibara An Algorithm for Testing Structure Freeness of Biomolecular Sequences. [Citation Graph (0, 0)][DBLP ] Aspects of Molecular Computing, 2004, pp:266-277 [Conf ] Takashi Yokomori , Yasubumi Sakakibara , Satoshi Kobayashi A Magic Pot : Self-assembly Computation Revisited. [Citation Graph (0, 0)][DBLP ] Formal and Natural Computing, 2002, pp:418-430 [Conf ] Yasubumi Sakakibara Learning Context-Free Grammars from Structural Data in Polynomial Time. [Citation Graph (0, 0)][DBLP ] COLT, 1988, pp:330-344 [Conf ] Yasubumi Sakakibara , Rani Siromoney A Noise Model on Learning Sets of Strings. [Citation Graph (0, 0)][DBLP ] COLT, 1992, pp:295-302 [Conf ] Yasubumi Sakakibara , Michael Brown , Richard Hughey , I. Saira Mian , Kimmen Sjölander , Rebecca C. Underwood , David Haussler Recent Methods for RNA Modeling Using Stochastic Context-Free Grammars. [Citation Graph (0, 0)][DBLP ] CPM, 1994, pp:289-306 [Conf ] Yuji Kawada , Yasubumi Sakakibara Discriminative Discovery of Transcription Factor Binding Sites from Location Data. [Citation Graph (0, 0)][DBLP ] CSB, 2005, pp:86-89 [Conf ] Hiroshi Matsui , Kengo Sato , Yasubumi Sakakibara Pair Stochastic Tree Adjoining Grammars for Aligning and Predicting Pseudoknot RNA Structures. [Citation Graph (0, 0)][DBLP ] CSB, 2004, pp:290-299 [Conf ] Yasubumi Sakakibara Solving Computational Learning Problems of Boolean Formulae on DNA Computers. [Citation Graph (0, 0)][DBLP ] DNA Computing, 2000, pp:220-230 [Conf ] Yasubumi Sakakibara Population Computation and Majority Inference in Test Tube. [Citation Graph (0, 0)][DBLP ] DNA, 2001, pp:82-91 [Conf ] Yasubumi Sakakibara , Takahiro Hohsaka In Vitro Translation-Based Computations. [Citation Graph (0, 0)][DBLP ] DNA, 2003, pp:197-202 [Conf ] Yasubumi Sakakibara , Hiroshi Imai A DNA-based Computational Model Using a Specific Type of Restriction Enzyme. [Citation Graph (0, 0)][DBLP ] DNA, 2002, pp:315-325 [Conf ] Junna Kuramochi , Yasubumi Sakakibara Intensive In Vitro Experiments of Implementing and Executing Finite Automata in Test Tube. [Citation Graph (0, 0)][DBLP ] DNA, 2005, pp:193-202 [Conf ] Hirotaka Nakagawa , Kensaku Sakamoto , Yasubumi Sakakibara Development of an In Vivo Computer Based on Escherichia coli . [Citation Graph (0, 0)][DBLP ] DNA, 2005, pp:203-212 [Conf ] Kengo Sato , Yasubumi Sakakibara RNA secondary structural alignment with conditional random fields. [Citation Graph (0, 0)][DBLP ] ECCB/JBI, 2005, pp:242- [Conf ] Yasubumi Sakakibara An Efficient Learning of Context-Free Grammars for Bottom-Up Parsers. [Citation Graph (0, 0)][DBLP ] FGCS, 1988, pp:447-454 [Conf ] Yasubumi Sakakibara , Michael Brown , Rebecca C. Underwood , I. Saira Mian , David Haussler Stochastic Context-Free Grammars for Modeling RN. [Citation Graph (0, 0)][DBLP ] HICSS (5), 1994, pp:284-294 [Conf ] Mostefa Golea , Masahiro Matsuoka , Yasubumi Sakakibara Stochastic simple recurrent neural networks. [Citation Graph (0, 0)][DBLP ] ICGI, 1996, pp:262-273 [Conf ] Yasubumi Sakakibara , Hidenori Muramatsu Learning Context-Free Grammars from Partially Structured Examples. [Citation Graph (0, 0)][DBLP ] ICGI, 2000, pp:229-240 [Conf ] Yasubumi Sakakibara , Mitsuhiro Kondo GA-based Learning of Context-Free Grammars using Tabular Representations. [Citation Graph (0, 0)][DBLP ] ICML, 1999, pp:354-360 [Conf ] Yasubumi Sakakibara Pair hidden Markov models on tree structures. [Citation Graph (0, 0)][DBLP ] ISMB (Supplement of Bioinformatics), 2003, pp:232-240 [Conf ] Yasubumi Sakakibara Programming in Modal Logic: An Extension of PROLOG based on Modal Logic. [Citation Graph (0, 0)][DBLP ] LP, 1986, pp:81-91 [Conf ] Yasubumi Sakakibara , Kiyoshi Asai , Kengo Sato Stem Kernels for RNA Sequence Analyses. [Citation Graph (0, 0)][DBLP ] BIRD, 2007, pp:278-291 [Conf ] Hiroshi Matsui , Kengo Sato , Yasubumi Sakakibara Pair stochastic tree adjoining grammars for aligning and predicting pseudoknot RNA structures. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2005, v:21, n:11, pp:2611-2617 [Journal ] Yasubumi Sakakibara Development of a Bacteria Computer: From in silico Finite Automata to in virto AND in vivo. [Citation Graph (0, 0)][DBLP ] Bulletin of the EATCS, 2005, v:87, n:, pp:165-178 [Journal ] Yasubumi Sakakibara Efficient Learning of Context-Free Grammars from Positive Structural Examples [Citation Graph (0, 0)][DBLP ] Inf. Comput., 1992, v:97, n:1, pp:23-60 [Journal ] Yasubumi Sakakibara On Learning from Queries and Counterexamples in the Presence of Noise. [Citation Graph (0, 0)][DBLP ] Inf. Process. Lett., 1991, v:37, n:5, pp:279-284 [Journal ] Yasubumi Sakakibara , Hiroshi Imai A DNA-Based Computational Model Using a Specific Type of Restriction Enzymes. [Citation Graph (0, 0)][DBLP ] Journal of Automata, Languages and Combinatorics, 2004, v:9, n:1, pp:111-119 [Journal ] Yasubumi Sakakibara Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1993, v:11, n:, pp:37-62 [Journal ] Georgios Paliouras , Yasubumi Sakakibara Guest editorial to the special issue on grammatical inference. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2007, v:66, n:1, pp:3-5 [Journal ] Yasubumi Sakakibara DNA-based algorithms for learning Boolean formulae. [Citation Graph (0, 0)][DBLP ] Natural Computing, 2003, v:2, n:2, pp:153-171 [Journal ] Christoph Globig , Klaus P. Jantke , Steffen Lange , Yasubumi Sakakibara On Case Based Learnability of Language. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 1997, v:15, n:1, pp:39-83 [Journal ] Yasubumi Sakakibara Grammatical Inference in Bioinformatics. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:7, pp:1051-1062 [Journal ] Yasubumi Sakakibara Learning context-free grammars using tabular representations. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 2005, v:38, n:9, pp:1372-1383 [Journal ] Yasubumi Sakakibara , Satoshi Kobayashi Sticker systems with complex structures. [Citation Graph (0, 0)][DBLP ] Soft Comput., 2001, v:5, n:2, pp:114-120 [Journal ] Satoshi Kobayashi , Yasubumi Sakakibara Multiple splicing systems and the universal computability. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 2001, v:264, n:1, pp:3-23 [Journal ] Yasubumi Sakakibara Learning Context-Free Grammars from Structural Data in Polynomial Time. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 1990, v:76, n:2-3, pp:223-242 [Journal ] Yasubumi Sakakibara Recent Advances of Grammatical Inference. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 1997, v:185, n:1, pp:15-45 [Journal ] Yasubumi Sakakibara , Claudio Ferretti Splicing on Tree-Like Structures. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 1999, v:210, n:2, pp:227-243 [Journal ] Development of a Bacteria Computer: From in silico Finite Automata to in vitro and in vivo . [Citation Graph (, )][DBLP ] Operon Structure Optimization by Random Self-assembly. [Citation Graph (, )][DBLP ] A Non-parametric Bayesian Approach for Predicting RNA Secondary Structures. [Citation Graph (, )][DBLP ] Statistical prediction of protein-chemical interactions based on chemical structure and mass spectrometry data. [Citation Graph (, )][DBLP ] Accurate identification of orthologous segments among multiple genomes. [Citation Graph (, )][DBLP ] Accurate identification of orthologous segments among multiple genomes. [Citation Graph (, )][DBLP ] Directed acyclic graph kernels for structural RNA analysis. [Citation Graph (, )][DBLP ] Search in 0.004secs, Finished in 0.007secs