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Logistic Regression for Transductive Transfer Learning from Multiple Sources

2010
Recent years have witnessed the increasing interest in transfer learning. And transdactive transfer learning from multiple source domains is one of the important topics in transfer learning. In this paper, we also address this issue. However, a new method, namely TTLRM (Transductive Transfer based on Logistic Regression from Multi-sources) is proposed ...
Yuhong Zhang 0002   +2 more
openaire   +1 more source

Multi-source Logistics Data Management Architecture

2022
Rongtao Qian   +3 more
openaire   +1 more source

Use of Renewable Energy Sources in Logistics

2023
Robert Stanisławski, Andrzej Szymonik
openaire   +1 more source

Logistics Out-Sourcing

2008
Michael Browne, Julian Allen
openaire   +1 more source

Large Time Behavior to a Chemotaxis–Consumption Model With Singular Sensitivity and Logistic Source

Mathematical Methods in the Applied Sciences, 2021
Zuodong Yang, Zhe Jia
exaly  

Boundedness of Solutions in a Chemotaxis System With Nonlinear Sensitivity and Logistic Source

Journal of Mathematical Analysis and Applications, 2015
Pan Zheng, Xuegang Hu, Ya Tian
exaly  

Boundedness in a Quasilinear Fully Parabolic Keller–Segel System of Higher Dimension With Logistic Source

Journal of Mathematical Analysis and Applications, 2015
Sining Zheng, Xinru Cao
exaly  

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