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General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

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).

[PDF]

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.

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E-mail: ijmlc@ejournal.net