(Q48593967)

13 February 2018

title

Singularities affect dynamics of learning in neuromanifolds (English)

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13 February 2018

1

Shun-ichi Amari

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13 February 2018

Hyeyoung Park

2

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13 February 2018

Tomoko Ozeki

series ordinal

3

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13 February 2018

publication date

1 May 2006

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13 February 2018

published in

Neural Computation

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13 February 2018

volume

18

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13 February 2018

issue

5

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13 February 2018

page(s)

1007-1065

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13 February 2018

Nonmonotonic generalization bias of Gaussian mixture models.

cites work

1 reference

https://api.crossref.org/works/10.1162%2FNECO.2006.18.5.1007

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Natural Gradient Works Efficiently in Learning

21 January 2018

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Difficulty of singularity in population coding.

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https://api.crossref.org/works/10.1162%2FNECO.2006.18.5.1007

Adaptive method of realizing natural gradient learning for multilayer perceptrons.

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Local minima and plateaus in hierarchical structures of multilayer perceptrons.

21 January 2018

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https://api.crossref.org/works/10.1162%2FNECO.2006.18.5.1007

Upper bound of the expected training error of neural network regression for a Gaussian noise sequence.

21 January 2018

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Network information criterion-determining the number of hidden units for an artificial neural network model.

21 January 2018

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21 January 2018

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On-line learning in soft committee machines.

21 January 2018

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Estimating the Dimension of a Model

21 January 2018

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Algebraic analysis for nonidentifiable learning machines.

21 January 2018

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Algebraic geometrical methods for hierarchical learning machines.

21 January 2018

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Population coding and decoding in a neural field: a computational study

21 January 2018

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Population coding with correlation and an unfaithful model.

21 January 2018

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Singularities in mixture models and upper bounds of stochastic complexity.

21 January 2018

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Natural Gradient Descent for On-Line Learning

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21 January 2018

Identifiers

DOI

1 reference

13 February 2018

DBLP publication ID

journals/neco/AmariPO06

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DBLP Dataset 2021-01-02

28 January 2021

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13 February 2018