Using neural networks to learn intractable generative models

Hinton, GE; Dayan, P; Neal, RM; Zemel, RS

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Using neural networks to learn intractable generative models

Hinton, G., Dayan, P., Neal, R., & Zemel, R. (1994). Using neural networks to learn intractable generative models. In 1994 Proceedings of the Section on Bayesian Statistical Science, American Statistical Association.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-5589-F Version Permalink: https://hdl.handle.net/21.11116/0000-0007-558A-E

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Creators:
Hinton, GE, Author
Dayan, P¹, Author
Neal, RM, Author
Zemel, RS, Author

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1External Organizations, ou_persistent22

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Dates: Published in Print: 1994

Publication Status: Published in print

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Title: Annual Meeting of the American Statistical Association

Place of Event: Toronto, Canada

Start-/End Date: 1994-08-13 - 1994-08-18

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Title: 1994 Proceedings of the Section on Bayesian Statistical Science, American Statistical Association

Source Genre: Proceedings

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Pages: 271 Volume / Issue: - Sequence Number: 1424 Start / End Page: - Identifier: ISBN: 1-883276-03-9