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020 _a9783540452652
_9978-3-540-45265-2
024 7 _a10.1007/11872436
_2doi
050 4 _aQA76.76.C65
072 7 _aUMC
_2bicssc
072 7 _aCOM010000
_2bisacsh
072 7 _aUMC
_2thema
082 0 4 _a005.45
_223
245 1 0 _aGrammatical Inference: Algorithms and Applications
_h[electronic resource] :
_b8th International Colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006, Proceedings /
_cedited by Yasibumi Sakaibara, Satoshi Kobayashi, Kengo Sato, Tetsuro Nishino, Etsuji Tomita.
250 _a1st ed. 2006.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2006.
300 _aXII, 359 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4201
505 0 _aInvited Papers -- Parsing Without Grammar Rules -- Classification of Biological Sequences with Kernel Methods -- Regular Papers -- Identification in the Limit of Systematic-Noisy Languages -- Ten Open Problems in Grammatical Inference -- Polynomial-Time Identification of an Extension of Very Simple Grammars from Positive Data -- PAC-Learning Unambiguous NTS Languages -- Incremental Learning of Context Free Grammars by Bridging Rule Generation and Search for Semi-optimum Rule Sets -- Variational Bayesian Grammar Induction for Natural Language -- Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model -- Using Pseudo-stochastic Rational Languages in Probabilistic Grammatical Inference -- Learning Analysis by Reduction from Positive Data -- Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time -- Planar Languages and Learnability -- A Unified Algorithm for Extending Classes of Languages Identifiable in the Limit from Positive Data -- Protein Motif Prediction by Grammatical Inference -- Grammatical Inference in Practice: A Case Study in the Biomedical Domain -- Inferring Grammar Rules of Programming Language Dialects -- The Tenjinno Machine Translation Competition -- Large Scale Inference of Deterministic Transductions: Tenjinno Problem 1 -- A Discriminative Model of Stochastic Edit Distance in the Form of a Conditional Transducer -- Learning n-Ary Node Selecting Tree Transducers from Completely Annotated Examples -- Learning Multiplicity Tree Automata -- Learning DFA from Correction and Equivalence Queries -- Using MDL for Grammar Induction -- Characteristic Sets for Inferring the Unions of the Tree Pattern Languages by the Most Fitting Hypotheses -- Learning Deterministic DEC Grammars Is Learning Rational Numbers -- Iso-array Acceptors and Learning -- Poster Papers -- A Merging States Algorithm for Inference of RFSAs -- Query-Based Learning of XPath Expressions -- Learning Finite-State Machines from Inexperienced Teachers -- Suprasymbolic Grammar Induction by Recurrent Self-Organizing Maps -- Graph-Based Structural Data Mining in Cognitive Pattern Interpretation -- Constructing Song Syntax by Automata Induction -- Learning Reversible Languages with Terminal Distinguishability -- Grammatical Inference for Syntax-Based Statistical Machine Translation.
650 0 _aCompilers (Computer programs).
_93350
650 0 _aArtificial intelligence.
_93407
650 0 _aMachine theory.
_9135749
650 0 _aComputer science.
_99832
650 1 4 _aCompilers and Interpreters.
_931853
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aFormal Languages and Automata Theory.
_9135750
650 2 4 _aComputer Science Logic and Foundations of Programming.
_942203
700 1 _aSakaibara, Yasibumi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135751
700 1 _aKobayashi, Satoshi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135752
700 1 _aSato, Kengo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135753
700 1 _aNishino, Tetsuro.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135754
700 1 _aTomita, Etsuji.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135755
710 2 _aSpringerLink (Online service)
_9135756
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540452645
776 0 8 _iPrinted edition:
_z9783540830689
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4201
_9135757
856 4 0 _uhttps://doi.org/10.1007/11872436
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