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Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning

IEEE Transactions on Neural Networks and Learning Systems, 2016
One of the main research problems in heterogeneous transfer learning is to determine whether a given source domain is effective in transferring knowledge to a target domain, and then to determine how much of the knowledge should be transferred from a source domain to a target domain.
Liu, Yang   +3 more
openaire   +2 more sources

Transfer Learning

2020
Qiang Yang   +3 more
  +5 more sources

Transfer Learning

2021
Shriram K. Vasudevan   +2 more
openaire   +2 more sources

Transfer learning

2023
Yinhai Wang, Zhiyong Cui, Ruimin Ke
openaire   +2 more sources

Transforming heat transfer with thermal metamaterials and devices

Nature Reviews Materials, 2021
Ying Li, Wei Li, Tiancheng Han
exaly  

Transferable learning

2018
Geoff Meads   +2 more
openaire   +2 more sources

Horizontal gene transfer and adaptive evolution in bacteria

Nature Reviews Microbiology, 2021
Brian J Arnold, William P Hanage
exaly  

State of the art: a review of sentiment analysis based on sequential transfer learning

Artificial Intelligence Review, 2022
Jireh Yi-Le Chan   +4 more
semanticscholar   +1 more source

Direct Photocatalyzed Hydrogen Atom Transfer (HAT) for Aliphatic C–H Bonds Elaboration

Chemical Reviews, 2022
Luca Capaldo   +2 more
exaly  

Charge-transfer materials for electrochemical water desalination, ion separation and the recovery of elements

Nature Reviews Materials, 2020
Pattarachai Srimuk, Xiao Su, Jeyong Yoon
exaly  

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