Recent advances of grammatical inference
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Abe, 1994, A new method for predicting protein secondary structures based on stochastic tree grammars, 3
Abe, 1992, On the computational complexity of approximating distributions by probabilistic automata, Machine Learning, 9, 205, 10.1007/BF00992677
Aho, 1972, Parsing, vol. I
Angluin, 1980, Finding patterns common to a set of strings, J. Comput. System Sci., 21, 46, 10.1016/0022-0000(80)90041-0
Angluin, 1980, Inductive inference of formal languages from positive data, Inform. Control, 45, 117, 10.1016/S0019-9958(80)90285-5
Angluin, 1981, A note on the number of queries needed to identify regular languages, Inform. Control, 51, 76, 10.1016/S0019-9958(81)90090-5
Angluin, 1987, Learning regular sets from queries and counter-examples, Inform. Comput., 75, 87, 10.1016/0890-5401(87)90052-6
Angluin, 1990, Negative results for equivalence queries, Machine Learning, 5, 121, 10.1007/BF00116034
Angluin, 1992, Computational learning theory: survey and selected bibliography, 351
Angluin, 1991, When won't membership queries help?, 444
Angluin, 1983, Inductive inference: theory and methods, ACM Comput. Surveys, 15, 237, 10.1145/356914.356918
Arikawa, 1989, Elementary formal systems as a unifying framework for language learning, 312
Baker, 1979, Trainable grammars for speech recognition, 547
Brāzma, 1994, Efficient learning of regular expressions from good examples, Vol. 872, 76
Burago, 1994, Learning structurally reversible context-free grammars from queries and counterexamples in polynomial time, 140
1994, Vol. 862
Crespi-Reghizzi, 1972, An effective model for grammar inference, 524
Dupon, 1994, Regular grammatical inference from positive and negative samples by genetic search: the GIG method, Vol. 862, 236
Elman, 1991, Distributed representations, simple recurrent networks, and grammatical structure, Machine Learning, 7, 195, 10.1007/BF00114844
Fahmy, 1993, Synthesis of real time acceptors, J. Symbolic Comput., 15, 807, 10.1016/S0747-7171(06)80013-1
Giles, 1990, Higher order recurrent networks & grammatical inference, Vol. 2, 380
Globig, 1997, On case-based learnability of languages, New Generation Comput., 15, 59, 10.1007/BF03037560
Globig, 1994, On case-based representability and learnability of languages, Vol. 872, 106
Gold, 1967, Language identification in the limit, Inform. Control, 10, 447, 10.1016/S0019-9958(67)91165-5
Gold, 1978, Complexity of automaton identification from given data, Inform. Control, 37, 302, 10.1016/S0019-9958(78)90562-4
Golea, 1996, Simple recurrent neural networks as probability models, 68
Hertz, 1991
Hunter, 1993
Ishizaka, 1990, Polynomial time learnability of simple deterministic languages, Machine Learning, 5, 151, 10.1007/BF00116035
Jantke, 1995, Case-based representation and learning of pattern languages, Theoret. Comput. Sci., 137, 25, 10.1016/0304-3975(95)91134-C
Koshiba, 1995, Typed pattern languages and their learnability, Vol. 904, 367
Krogh, 1994, Hidden Markov models in computational biology: Applications to protein modeling, J. Molecular Biol., 235, 1501, 10.1006/jmbi.1994.1104
Laird, 1990, A survey of computational learning theory, 173
Lari, 1990, The estimation of stochastic context-free grammars using the inside-outside algorithm, Comput. Speech Language, 4, 35, 10.1016/0885-2308(90)90022-X
Levy, 1978, Skeletal structural descriptions, Inform. Control, 39, 192, 10.1016/S0019-9958(78)90849-5
Makinen, 1992, On the structural grammatical inference problem for some classes of context-free grammars, Inform. Process. Lett., 42, 193, 10.1016/0020-0190(92)90124-E
Miclet, 1986, Grammatical inference, 237
1996, Vol. 1147
Miyano, 1991, Which classes of elementary formal systems are polynomialtime learnable?, 139
Oncina, 1993, Learning subsequential transducers for pattern recognition interpretation tasks, IEEE Trans. Pattern Anal. Machine Intelligence, 15, 448, 10.1109/34.211465
Pereira, 1992, Inside-outside reestimation for partially bracketed corpora, 128
Pitt, 1989, Inductive inference, DFAs, and computational complexity, Vol. 397, 18
Pitt, 1989, The minimum consistent DFA problem cannot be approximated within any polynomial
Rabiner, 1989, A tutorial on hidden Markov models and selected applications in speech recognition, 77, 257
Ron, 1995, Learning fallible deterministic finite automata, Machine Learning, 18, 149, 10.1007/BF00993409
Sakakibara, 1990, Learning context-free grammars from structural data in polynomial time, Theoret. Comput. Sci., 76, 223, 10.1016/0304-3975(90)90017-C
Sakakibara, 1991, On learning from queries and counterexamples in the presence of noise, Inform. Processing Lett., 37, 279, 10.1016/0020-0190(91)90220-C
Sakakibara, 1992, Efficient learning of context-free grammars from positive structural examples, Inform. Comput., 97, 23, 10.1016/0890-5401(92)90003-X
Sakakibara, 1994, Stochastic context-free grammars for tRNA modeling, Nucleic Acids Res., 22, 5112, 10.1093/nar/22.23.5112
Sakakibara, 1995, Simple recurrent networks as generalized hidden markov models with distributed representations, 979
Sakakibara, 1994, Learning languages by collecting cases and tuning parameters, Vol. 872, 532
Sakakibara, 1992, A noise model on learning sets of strings, 295
Searls, 1992, The linguistics of DNA, Amer. Scientist, 80, 579
Shinohara, 1994, Rich classes inferable from positive data: length-bounded elementary formal systems, Inform. Comput., 108, 175, 10.1006/inco.1994.1006
Stolcke, 1994, Inducing probabilistic grammars by bayesian model merging, Vol. 862, 106
Takada, 1988, Grammatical inference for even linear languages based on control sets, Inform. Processing Lett., 28, 193, 10.1016/0020-0190(88)90208-6
Takada, 1995, A hierarchy of language families learnable by regular language learners, Inform. Comput., 123, 138, 10.1006/inco.1995.1163
Trakhtenbrot, 1973, Finite Automata — Behavior and Synthesisa
Waterman, 1989, Sequence alignments
Wiehagen, 1994, From inductive inference to algorithmic learning theory, New Generation Comput., 12, 321, 10.1007/BF03037350
Yokomori, 1991, Polynomial-time learning of very simple grammars from positive data, 213
Yokomori, 1994, Learning nondeterministic finite automata from queries and counterexamples, 13, 169
Yokomori, 1995, On polynomial-time learnability in the limit of strictly deterministic automata, Machine Learning, 19, 153, 10.1007/BF01007463
Zeugmann, 1995, A guided tour across the boundaries of learning recursive languages, Vol. 961, 193