loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jeannie M. Fitzgerald ; R. Mohammed Atif Azad and Conor Ryan

Affiliation: University of Limerick, Ireland

ISBN: 978-989-758-157-1

Keyword(s): Unsupervised Learning, Semi-supervised Learning, Multi-class Classification, Grammatical Evolution, Evolutionary Computation, Machine Learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Hybrid Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: This paper introduces a novel evolutionary approach which can be applied to supervised, semi-supervised and unsupervised learning tasks. The method, Grammatical Evolution Machine Learning (GEML) adapts machine learning concepts from decision tree learning and clustering methods, and integrates these into a Grammatical Evolution framework. With minor adaptations to the objective function the system can be trivially modified to work with the conceptually different paradigms of supervised, semi-supervised and unsupervised learning. The framework generates human readable solutions which explain the mechanics behind the classification decisions, offering a significant advantage over existing paradigms for unsupervised and semi-supervised learning. GEML is studied on a range of multi-class classification problems and is shown to be competitive with several state of the art multi-class classification algorithms.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.232.171.18

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
M. Fitzgerald, J.; Azad, R. and Ryan, C. (2015). GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution.In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA, ISBN 978-989-758-157-1, pages 83-94. DOI: 10.5220/0005599000830094

@conference{ecta15,
author={Jeannie M. Fitzgerald. and R. Mohammed Atif Azad. and Conor Ryan.},
title={GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,},
year={2015},
pages={83-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005599000830094},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,
TI - GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution
SN - 978-989-758-157-1
AU - M. Fitzgerald, J.
AU - Azad, R.
AU - Ryan, C.
PY - 2015
SP - 83
EP - 94
DO - 10.5220/0005599000830094

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.