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- Priors for Bayesian Neural Networks
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Priors for Bayesian Neural Networks Robinson, Mark
Abstract
In recent years, Neural Networks (NN) have become a popular data-analytic tool in Statistics, Computer Science and many other fields. NNs can be used as universal approximators, that is, a tool for regressing a dependent variable on a possibly complicated function of the explanatory variables. The NN parameters, unfortunately, are notoriously hard to interpret. Under the Bayesian view, we propose and discuss prior distributions for some of the network parameters which encourage parsimony and reduce overfit, by eliminating redundancy, promoting orthogonality, linearity or additivity. Thus we consider more senses of parsimony than are discussed in the existing literature. We investigate the predictive performance of networks fit under these various priors. The Deviance Information Criterion (DIC) is briefly explored as a model selection criterion.
Item Metadata
Title |
Priors for Bayesian Neural Networks
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2001
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Description |
In recent years, Neural Networks (NN) have become a popular data-analytic tool in Statistics,
Computer Science and many other fields. NNs can be used as universal approximators, that is, a tool
for regressing a dependent variable on a possibly complicated function of the explanatory variables.
The NN parameters, unfortunately, are notoriously hard to interpret. Under the Bayesian view,
we propose and discuss prior distributions for some of the network parameters which encourage
parsimony and reduce overfit, by eliminating redundancy, promoting orthogonality, linearity or
additivity. Thus we consider more senses of parsimony than are discussed in the existing literature.
We investigate the predictive performance of networks fit under these various priors. The Deviance
Information Criterion (DIC) is briefly explored as a model selection criterion.
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Extent |
2868929 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-08-06
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0090168
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2001-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.