Extreme Learning Machine Based on Maximum Weighted Mean Discrepancy for Unsupervised Domain Adaptation

Extreme Learning Machine (ELM) has shown fast learning speed and good generalization property in single-domain problems, such as classification and regression. However, the assumption that the training and testing data are subject to identical distribution often leads to significant performance degr...

Description complète

Détails bibliographiques

Auteurs principaux:	Yanna Si, Jiexin Pu, Shaofei Zang, Lifan Sun
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2021-01-01
Collection:	IEEE Access
Sujets:	Extreme learning machine domain adaptation cross-domain weight maximum mean discrepancy joint distribution adaptation
Accès en ligne:	https://ieeexplore.ieee.org/document/9308971/
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!