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Bayesian approach for neural networks--review and case studies
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scholarly article
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Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
title
Bayesian approach for neural networks--review and case studies
(English)
1 reference
stated in
Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
main subject
artificial neural network
0 references
Bayesian inference
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author
Aki Vehtari
series ordinal
2
object named as
Vehtari A
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author name string
Lampinen J
series ordinal
1
1 reference
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Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
publication date
1 April 2001
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Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
published in
Neural Networks
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stated in
Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
volume
14
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stated in
Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
issue
3
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Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
page(s)
257-274
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Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
cites work
Curvature-driven smoothing: a learning algorithm for feedforward networks.
1 reference
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Crossref
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https://api.crossref.org/works/10.1016%2FS0893-6080%2800%2900098-8
retrieved
7 January 2021
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Convergence assessment techniques for Markov chain Monte Carlo
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reference URL
https://api.crossref.org/works/10.1016%2FS0893-6080%2800%2900098-8
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7 January 2021
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Sequential monte carlo methods To train neural network models
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https://api.crossref.org/works/10.1016%2FS0893-6080%2800%2900098-8
retrieved
7 January 2021
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Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.
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https://api.crossref.org/works/10.1016%2FS0893-6080%2800%2900098-8
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7 January 2021
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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
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https://api.crossref.org/works/10.1016%2FS0893-6080%2800%2900098-8
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7 January 2021
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Monte Carlo sampling methods using Markov chains and their applications
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https://api.crossref.org/works/10.1016%2FS0893-6080%2800%2900098-8
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7 January 2021
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Bayes Factors
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7 January 2021
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A Practical Bayesian Framework for Backpropagation Networks
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https://api.crossref.org/works/10.1016%2FS0893-6080%2800%2900098-8
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7 January 2021
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Issues in Bayesian Analysis of Neural Network Models
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7 January 2021
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Bayesian neural networks for classification: how useful is the evidence framework?
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7 January 2021
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A review of Bayesian neural networks with an application to near infrared spectroscopy
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7 January 2021
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The Lack of A Priori Distinctions Between Learning Algorithms
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7 January 2021
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Identifiers
DOI
10.1016/S0893-6080(00)00098-8
1 reference
stated in
Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
DBLP publication ID
journals/nn/LampinenV01
1 reference
stated in
DBLP Dataset 2021-01-02
retrieved
28 January 2021
PubMed ID
11341565
1 reference
stated in
Europe PubMed Central
PubMed ID
11341565
retrieved
31 July 2017
ResearchGate publication ID
11994835
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