Bayesian neural multi-source transfer learning-Reference-Cited by-同舟云学术

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Bayesian neural multi-source transfer learning

Published:2020-02 Issue: Volume:378 Page:54-64
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Chandra Rohitash^ORCID,Kapoor Arpit

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference75 articles.

1. 10 Challenging problems in data mining research;Yang;Int. J. Inf. Technol. Decision Making,2006

2. Top 10 algorithms in data mining;Wu;Knowl. Inf. Syst.,2008

3. Direct transfer of learned information among neural networks;Pratt,1991

4. Discriminability-based transfer between neural networks;Pratt,1993

5. A survey on transfer learning;Pan;IEEE Trans. Knowl. Data Eng.,2010

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization-based multi-source transfer learning for modeling of nonlinear processes;Chemical Engineering Science;2024-08

2. A penalized complexity prior for deep Bayesian transfer learning with application to materials informatics;The Annals of Applied Statistics;2023-12-01

3. Multi-source combined transfer learning for text classification;Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023);2023-10-09

4. From multi-label learning to cross-domain transfer: a model-agnostic approach;Applied Intelligence;2023-08-03

5. Multi-source Transfer Learning Based on the Power Set Framework;International Journal of Computational Intelligence Systems;2023-06-17

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