Fuzzy ARTMAP with binary relevance for multi-label classification

• Main Authors: Yuan, L.X., Tan, S.C., Goh, P.Y., Lim, C.P., Watada, J.
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020416745&doi=10.1007%2f978-3-319-59424-8_12&partnerID=40&md5=ad2af4eaccfb6c1c8fc243100d211971; http://eprints.utp.edu.my/22023/

In this paper, we propose a modified supervised adaptive resonance theory neural network, namely Fuzzy ARTMAP (FAM), to undertake multi-label data classification tasks. FAM is integrated with the binary relevance (BR) technique to form BR-FAM. The effectiveness of BR-FAM is evaluated using two bench...