Possibilistic Distribution Distance Measure: Robust Domain Adaptation Learning Method

Possibilistic Distribution Distance Measure: Robust Domain Adaptation Learning Method

Domain adaptation (DA) aims to solve the problem of inconsistent distribution between training dataset and test dataset, which has attracted extensive attention. Most of the existing DA methods solve this problem by the maximum mean discrepancy (MMD) criterion or its variants. However, the noise dat...

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Bibliographic Details
Main Author:	DAN Yufang, TAO Jianwen
Format:	Article
Language:	zho
Published:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-03-01
Series:	Jisuanji kexue yu tansuo
Subjects:	domain adaptation (da); probabilistic clustering; maximum mean discrepancy (mmd); fuzzy entropy
Online Access:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2211120.pdf

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