loading
Documents

Research.Publish.Connect.

Paper

Authors: Sašo Karakatič ; Marjan Heričko and Vili Podgorelec

Affiliation: University of Maribor, Slovenia

ISBN: 978-989-758-274-5

Keyword(s): Classification, Machine Learning, Genetic Programming, Lazy Evaluation, Dynamic Weighting.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: In this paper, we present a lazy evaluation approach of classification decision trees with genetic programming. We describe and experiment with the lazy evaluation that does not evaluate the whole population but evaluates only the individuals that are chosen to participate in the tournament selection method. Further on, we used dynamic weights for the classification instances, that are linked to the chance of that instance getting picked for the evaluation process. These weights change based on the misclassification rate of the instance. We test our lazy evaluation approach on 10 standard classification benchmark datasets and show that not only lazy evaluation approach uses less time to evolve the good solution, but can even produce better solution due to changing instance weights and thus preventing the overfitting of the solutions.

PDF ImageFull Text

Download
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 54.242.25.198

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:
Karakatič, S.; Karakatič, S.; Heričko, M. and Podgorelec, V. (2017). Experiments with Lazy Evaluation of Classification Decision Trees Made with Genetic Programming.In Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-274-5, pages 348-353. DOI: 10.5220/0006515203480353

@conference{ijcci17,
author={Sašo Karakatič. and Sašo Karakatič. and Marjan Heričko. and Vili Podgorelec.},
title={Experiments with Lazy Evaluation of Classification Decision Trees Made with Genetic Programming},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2017},
pages={348-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006515203480353},
isbn={978-989-758-274-5},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - Experiments with Lazy Evaluation of Classification Decision Trees Made with Genetic Programming
SN - 978-989-758-274-5
AU - Karakatič, S.
AU - Karakatič, S.
AU - Heričko, M.
AU - Podgorelec, V.
PY - 2017
SP - 348
EP - 353
DO - 10.5220/0006515203480353

Login or register to post comments.

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