Home > Archive > 2018 > Volume 8 Number 1 (Feb. 2018) >
IJMLC 2018 Vol.8(1): 80-84 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2018.8.1.667

Visual Report Generation Tool for Grammar-Based Classifier System

Olgierd Unold, Agnieszka Kaczmarek, and Łukasz Culer

Abstract—Grammar-based Classifier System (GCS) is one of the evolutionary approached context-free grammar induction methods. Any learning process creates a large amount of data, which is hard to analyze in a raw form. In the present paper we aim to present a reporting tool, created to facilitate analysis and conclusion drawing by presenting learning data in a neat and readable form, yet fully conveying its complexity.

Index Terms—Context–free grammars, data visualization, grammatical inference.

The authors are with the Department of Computer Engineering, Wrocław University of Science and Technology, Wrocław, Poland (e-mail: olgierd.unold@pwr.edu.pl, agnieszka.kaczmarek@pwr.edu.pl, lukasz.culer@pwr.edu.pl).


Cite: Olgierd Unold, Agnieszka Kaczmarek, and Łukasz Culer, "Visual Report Generation Tool for Grammar-Based Classifier System," International Journal of Machine Learning and Computing vol. 8, no. 1, pp. 80-84, 2018.

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Quaterly
  • DOI: 10.18178/IJML
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijml@ejournal.net

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