Sakaibara / Kobayashi / Sato Grammatical Inference: Algorithms and Applications

8th International Colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006, Proceedings
2006
ISBN: 978-3-540-45265-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 359 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

Zielgruppe

Research

Autoren/Hrsg.

Sakaibara, Yasibumi

Kobayashi, Satoshi

Sato, Kengo

Nishino, Tetsuro

Tomita, Etsuji

Inhaltsverzeichnis

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.