Neural Networks and the Bias/Variance Dilemma (Q56863783)

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Language	Label	Description	Also known as
English	Neural Networks and the Bias/Variance Dilemma	article

Statements

instance of

scholarly article

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title

Neural Networks and the Bias/Variance Dilemma (English)

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main subject

artificial neural network

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bias

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based on heuristic

inferred from title

author name string

Stuart Geman

series ordinal

1

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Elie Bienenstock

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2

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René Doursat

series ordinal

3

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publication date

January 1992

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published in

Neural Computation

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volume

4

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issue

1

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page(s)

1-58

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cites work

Multiresolution elastic matching

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stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Neural Networks and Principal Component Analysis: Learning from Examples Without Local Minima

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Auto-association by multilayer perceptrons and singular value decomposition

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stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

The recent excitement about neural networks

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stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Approximation by superpositions of a sigmoidal function

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Connectionism and cognitive architecture: a critical analysis

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stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Multivariate Adaptive Regression Splines

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Projection Pursuit Regression

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stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Neural network ensembles

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Multilayer feedforward networks are universal approximators

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Projection Pursuit

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

A simple procedure for pruning back-propagation trained neural networks.

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Regularization algorithms for learning that are equivalent to multilayer networks.

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Learning representations by back-propagating errors

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Stopping Rule for the MLE Algorithm Based on Statistical Hypothesis Testing.

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1992.4.1.1

retrieved

21 January 2018

Identifiers

DOI

10.1162/NECO.1992.4.1.1

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DBLP publication ID

journals/neco/GemanBD92

1 reference

stated in

DBLP Dataset 2021-01-02

retrieved

28 January 2021

 

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