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121227s2004 gw | s |||| 0|eng d |
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|a 9783540301950
|9 978-3-540-30195-0
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|a 10.1007/b101520
|2 doi
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|d GrThAP
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|a QA76.7-76.73
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|a QA76.76.C65
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|a UMX
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|a UMC
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|a 005.13
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|a Grammatical Inference: Algorithms and Applications
|h [electronic resource] :
|b 7th International Colloquium, ICGI 2004, Athens, Greece, October 11-13, 2004. Proceedings /
|c edited by Georgios Paliouras, Yasubumi Sakakibara.
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|a 1st ed. 2004.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2004.
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|a XII, 296 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Artificial Intelligence ;
|v 3264
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|a Invited Papers -- Learning and Mathematics -- Learning Finite-State Models for Machine Translation -- The Omphalos Context-Free Grammar Learning Competition -- Regular Papers -- Mutually Compatible and Incompatible Merges for the Search of the Smallest Consistent DFA -- Faster Gradient Descent Training of Hidden Markov Models, Using Individual Learning Rate Adaptation -- Learning Mild Context-Sensitiveness: Toward Understanding Children's Language Learning -- Learnability of Pregroup Grammars -- A Markovian Approach to the Induction of Regular String Distributions -- Learning Node Selecting Tree Transducer from Completely Annotated Examples -- Identifying Clusters from Positive Data -- Introducing Domain and Typing Bias in Automata Inference -- Analogical Equations in Sequences: Definition and Resolution -- Representing Languages by Learnable Rewriting Systems -- A Divide-and-Conquer Approach to Acquire Syntactic Categories -- Grammatical Inference Using Suffix Trees -- Learning Stochastic Finite Automata -- Navigation Pattern Discovery Using Grammatical Inference -- A Corpus-Driven Context-Free Approximation of Head-Driven Phrase Structure Grammar -- Partial Learning Using Link Grammars Data -- eg-GRIDS: Context-Free Grammatical Inference from Positive Examples Using Genetic Search -- The Boisdale Algorithm - An Induction Method for a Subclass of Unification Grammar from Positive Data -- Learning Stochastic Deterministic Regular Languages -- Polynomial Time Identification of Strict Deterministic Restricted One-Counter Automata in Some Class from Positive Data -- Poster Papers -- Learning Syntax from Function Words -- Running FCRPNI in Efficient Time for Piecewise and Right Piecewise Testable Languages -- Extracting Minimum Length Document Type Definitions Is NP-Hard -- Learning Distinguishable Linear Grammars from Positive Data -- Extending Incremental Learning of Context Free Grammars in Synapse -- Identifying Left-Right Deterministic Linear Languages -- Efficient Learning of k-Reversible Context-Free Grammars from Positive Structural Examples -- An Analysis of Examples and a Search Space for PAC Learning of Simple Deterministic Languages with Membership Queries.
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|a Programming languages (Electronic computers).
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|a Artificial intelligence.
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|a Mathematical logic.
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|a Computer logic.
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|a Programming Languages, Compilers, Interpreters.
|0 http://scigraph.springernature.com/things/product-market-codes/I14037
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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|a Mathematical Logic and Formal Languages.
|0 http://scigraph.springernature.com/things/product-market-codes/I16048
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|a Logics and Meanings of Programs.
|0 http://scigraph.springernature.com/things/product-market-codes/I1603X
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|a Paliouras, Georgios.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Sakakibara, Yasubumi.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783662189726
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776 |
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|i Printed edition:
|z 9783540234104
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|a Lecture Notes in Artificial Intelligence ;
|v 3264
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4 |
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|u https://doi.org/10.1007/b101520
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a ZDB-2-BAE
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|a Computer Science (Springer-11645)
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