A Survey of Connectionist Network Reuse Through Transfer-Reference-Cited by-同舟云学术

A Survey of Connectionist Network Reuse Through Transfer

Published:1996 Issue: Volume: Page:19-43
ISSN:
Container-title:Learning to Learn
language:
Short-container-title:

Author:

Pratt Lorien,Jennings Barbara

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4615-5529-2_2.pdf

Reference62 articles.

1. Yaser S. Abu-Mostafa. Learning from hints. Journal of Complexity, 10:165–178, 1994.

2. A. Agarwal, R. J. Mammone, and D. K. Naik. An on-line training algorithm to overcome catastrophic forgetting. In Intelligence Engineering Systems through Artificial Neural Networks, volume 2, pages 239–244. The American Society of Mechanical Engineers, ASME Press, 1992.

3. Etienne Barnard. Optimization for training neural nets. IEEE Transactions on neural networks, 3(2):232–240, 1992.

4. R. L. Barron, A. N. Mucciardi, F. J. Cook, J. N. Craig, and A. R. Barron. Adaptive learning networks: Development and application in the United States of algorithms related to GMDH. In S. J. Farlow, editor, Self-Organizing Methods in Modeling. Marcel Dekker, New York, 1984.

5. Jonathan Baxter. Learning internal representations. In Advances in Neural Information Processing Systems, volume 8. MIT Press, Cambridge, MA, 1996.

Cited by 4 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. Graph transfer learning;Knowledge and Information Systems;2022-12-21

2. Transfer learning‐trained convolutional neural networks identify novel MRI biomarkers of Alzheimer's disease progression;Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring;2021-01

3. Learning Molecular Representations for Medicinal Chemistry;Journal of Medicinal Chemistry;2020-05-04

4. Automatization of the Stream Mining Process;Advanced Information Systems Engineering;2014