The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 27-746
Full Name: Olgierd Unold
Position: Assistant Professor
Age: ON
Sex: Male
Address: Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw
Country: POLAND
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E-mail address: olgierd.unold@pwr.wroc.pl
Other E-mails: olgierd@unold.pl
Title of the Paper: Grammar-based Classifier System: A Universal Tool for Grammatical Inference
Authors as they appear in the Paper: Olgierd Unold
Email addresses of all the authors: olgierd.unold@pwr.wroc.pl
Number of paper pages: 10
Abstract: Grammatical Inference deals with the problem of learning structural models, such as grammars, from different sort of data patterns, such as artificial languages, natural languages, biosequences, speech and so on. This article describes a new grammatical inference tool, Grammar-based Classifier System (GCS) dedicated to learn grammar from data. GCS is a new model of Learning Classifier Systems in which the population of classifiers has a form of a context-free grammar rule set in a Chomsky Normal Form. GCS has been proposed to address both regular language induction and the natural language grammar induction as well as learning formal grammar for DNA sequence. In all cases near-optimal solutions or better than reported in the literature were obtained.
Keywords: Machine Learning, Grammatical Inference, Learning Classifier Systems, Regular Language Induction, DFA Induction, Natural Language Processing, Promoter Recognition
EXTENSION of the file: .pdf
Special (Invited) Session: Grammatical Inference with Grammar-based Classifier System
Organizer of the Session: 591-966
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IP ADDRESS: 77.113.99.198
