Invariance priors for Bayesian feed-forward neural networks

von Toussaint, U.; Gori, S.; Dose, V.

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Invariance priors for Bayesian feed-forward neural networks

von Toussaint, U., Gori, S., & Dose, V. (2006). Invariance priors for Bayesian feed-forward neural networks. Neural Networks, 19, 1550-1557. Retrieved from http://dx.doi.org/10.1016/j.neunet.2006.01.017.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-0ED7-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-0ED8-3

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von Toussaint, U.¹, Author
Gori, S.², Author
Dose, V.³, Author

Affiliations:
1Material Research (MF), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856328
2Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society
3External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Date issued: 2006

Publication Status: Issued

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Rev. Type: Peer

Identifiers: eDoc: 289969
URI: http://dx.doi.org/10.1016/j.neunet.2006.01.017

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Title: Neural Networks

Source Genre: Journal

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Pages: - Volume / Issue: 19 Sequence Number: - Start / End Page: 1550 - 1557 Identifier: -