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|a 9783540452652
|9 978-3-540-45265-2
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|a Grammatical Inference: Algorithms and Applications
|h [electronic resource] :
|b 8th International Colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006, Proceedings /
|c edited by Yasibumi Sakaibara, Satoshi Kobayashi, Kengo Sato, Tetsuro Nishino, Etsuji Tomita.
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|a 1st ed. 2006.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
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|a XII, 359 p.
|b online resource.
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|a text
|b txt
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 4201
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| 505 |
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|a Invited 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.
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|a Compilers (Computer programs).
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|a Artificial intelligence.
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|a Machine theory.
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|a Computer science.
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|a Compilers and Interpreters.
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|a Artificial Intelligence.
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|a Formal Languages and Automata Theory.
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| 650 |
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|a Computer Science Logic and Foundations of Programming.
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| 700 |
1 |
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|a Sakaibara, Yasibumi.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
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|a Kobayashi, Satoshi.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Sato, Kengo.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
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|a Nishino, Tetsuro.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Tomita, Etsuji.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540830689
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| 776 |
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|i Printed edition:
|z 9783540452645
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| 830 |
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 4201
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| 856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/11872436
|z Texto Completo
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