Fuzzy Inference and Manifold Regularization Combined Feature Transfer Learning

Fuzzy Inference and Manifold Regularization Combined Feature Transfer Learning

Transfer learning leverages the rich data in the source domain to provide support for building accurate models in the target domain. Feature transfer learning is a kind of widely studied technology in transfer learning, but the existing feature transfer methods are facing with the following problems...

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Bibliographic Details
Main Author: SONG Yixuan, DENG Zhaohong, QIN Bin
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-03-01
Series:Jisuanji kexue yu tansuo
Subjects:
feature transfer
nonlinear model
kernel technique
fuzzy system
interpretability
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2138.shtml

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