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A systematic review of deep transfer learning for machinery fault diagnosis

Neurocomputing, 2020
Chuan Li, Shaohui Zhang, Yi Qin
exaly  

Few-shot transfer learning for intelligent fault diagnosis of machine

Measurement: Journal of the International Measurement Confederation, 2020
Jingyao Wu, Zhibin Zhao, Chuang Sun
exaly  

Transfer Learning by Kernel Meta-Learning.

2012
A crucial issue in machine learning is how to learn appropriate representations for data. Recently, much work has been devoted to kernel learning, that is, the problem of finding a good kernel matrix for a given task. This can be done in a semi-supervised learning setting by using a large set of unlabeled data and a (typically small) set of i.i.d ...
openaire   +2 more sources

Incomplete Multisource Transfer Learning

IEEE Transactions on Neural Networks and Learning Systems, 2018
Zhengming Ding, Ming Shao, Yun Fu
exaly  

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

IEEE Transactions on Industrial Informatics, 2019
Chuang Sun, Meng Ma, Zhibin Zhao
exaly  

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Medical Image Analysis, 2019
Veronika Cheplygina   +2 more
exaly  

Neural Population Dynamics Underlying Motor Learning Transfer

Neuron, 2018
Saurabh Vyas   +2 more
exaly  

Learning and transfer of learning for synthetic speech

6th International Conference on Spoken Language Processing (ICSLP 2000), 2000
Zundert, van, M., Terken, J.M.B.
openaire   +2 more sources

Transfer Learning via Learning to Transfer.

Ying Wei 0001   +3 more
openaire   +1 more source

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