A4 Article in conference proceedings
Instance-Based Multi-Label Classification via Multi-Target Distance Regression (2021)

Hämäläinen, J., Nieminen, P., & Kärkkäinen, T. (2021). Instance-Based Multi-Label Classification via Multi-Target Distance Regression. In ESANN 2021 : Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Online event (Bruges, Belgium), October 06 - 08 (pp. 653-658). ESANN. https://doi.org/10.14428/esann/2021.ES2021-104

JYU authors or editors

Publication details

All authors or editors: Hämäläinen, Joonas; Nieminen, Paavo; Kärkkäinen, Tommi

Parent publication: ESANN 2021 : Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Online event (Bruges, Belgium), October 06 - 08

Conference:

Place and date of conference: Bruges, Belgium (Online event), 6.-8.10.2021

eISBN: 978-2-87587-082-7

Publication year: 2021

Pages range: 653-658

Publisher: ESANN

Publication country: Belgium

Publication language: English

DOI: https://doi.org/10.14428/esann/2021.ES2021-104

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/79349

Web address where publication is available: https://www.esann.org/proceedings/2021

Abstract

Interest in multi-target regression and multi-label classification techniques and their applications have been increasing lately. Here, we use the distance-based supervised method, minimal learning machine (MLM), as a base model for multi-label classification. We also propose and test a hybridization of unsupervised and supervised techniques, where prototype-based clustering is used to reduce both the training time and the overall model complexity. In computational experiments, competitive or improved quality of the obtained models compared to the state-of-the-art techniques was observed.

Keywords: machine learning; artificial intelligence

Free keywords: multi-target regression; multi-label classification techniques; minimal learning machine

Contributing organizations

Related projects

Ministry reporting: Yes

Reporting Year: 2021

JUFO rating: 1