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NLPCA - nonlinear PCA - auto-associative neural networks - autoencoder ...

www.nlpca.org/

Nonlinear principal component analysis (NLPCA) based on auto-associative neural networks, also known as autoencoder, replicator networks, bottleneck or ...

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Where is www.nlpca.org hosted?

Country:
Germany
City:
Berlin
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Public Interest Registry
Latitude:
52.52
Longitude:
13.40
IP address:
81.169.145.90
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1010001101010011001000101011010
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12152310532
IP Hexadecimal address:
51a9915a

Context analysis of nlpca.org

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3 670
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713
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68
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10
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Number of Strong texts:
1

Domain name architecture

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ञ ल प च अ . ओ र ग
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נ ל פּ ק(c) (a) . (ο) ר ג
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<HEAD> DATA INFORMATION

Encoding:
utf-8
author:
Matthias Scholz
description:
Nonlinear principal component analysis (NLPCA) based on auto-associative neural networks, also known as autoencoder, replicator networks, bottleneck or sandglass type networks.
keywords:
nonlinear principal component analysis, NLPCA, nonlinear PCA, non-linear PCA, circular PCA, principal component analysis, PCA, auto-associative neural network, autoencoder, bottleneck network, replicator network, sandglass network, missing data, inverse problem, bioinformatics

External links in nlpca.org

  • http://www.matthias-scholz.de
  • http://www.cida.ve/~stock/paper1/
  • http://dx.doi.org/10.1007/s11063-012-9220-6
  • http://www.matthias-scholz.de/scholz_NLPCA_validation_NeuralProcessLett2012.pdf
  • http://www.matthias-scholz.de/scholz_poster_RECOMB_2012_Barcelona.pdf
  • http://dx.doi.org/10.1007/978-3-540-73750-6_2
  • http://pca.narod.ru/contentsgkwz.htm
  • http://dx.doi.org/10.1007/978-3-540-73750-6
  • http://www.matthias-scholz.de/scholz_circularPCA_BIRD2007.pdf
  • http://dx.doi.org/10.1007/978-3-540-71233-6_4
  • http://www.matthias-scholz.de/bibtex_Sch07.txt
  • http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:kobv:517-opus-7839
  • http://opus.kobv.de/ubp/volltexte/2006/783/
  • http://www.matthias-scholz.de/scholz_PhD_thesis.pdf
  • http://phdthesis-bioinformatics-maxplanckinstitute-molecularplantphys.matthias-scholz.de
  • http://bioinformatics.oxfordjournals.org/cgi/reprint/21/20/3887
  • http://bioinformatics.oxfordjournals.org/cgi/reprint/bti634v1
  • http://edoc.hu-berlin.de/docviews/abstract.php?id=28770
  • http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:kobv:11-10086728
  • http://www.matthias-scholz.de/scholz_diploma.pdf
  • http://www.matthias-scholz.de/scholz_vigario_NLPCA_esann2002.pdf
  • http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2002-63.pdf
  • http://www.matthias-scholz.de/publications.html
  • http://www.cs.toronto.edu/~roweis/lle/
  • http://isomap.stanford.edu/
  • http://www.cis.hut.fi/projects/somtoolbox/
  • http://www.iro.umontreal.ca/~kegl/research/pcurves/
  • http://lear.inrialpes.fr/~verbeek/software
  • http://www.kernel-machines.org/code/kpca_toy.m
  • http://www.cis.hut.fi/projects/bayes/
  • http://master.bioconductor.org/packages/release/bioc/html/pcaMethods.html
  • http://www.network-science.org
  • http://matlab.omics.wiki/

Internal links in nlpca.org

  • matlab.html
  • fig_NLPCA_bottleneck_autoassociative_autoencoder_neural_network.png
  • fig_pca.html
  • fig_nlpca_nonlinear_PCA_autoencoder_circle.png
  • spectral_pca.html
  • spectral_data.html
  • fig_nlpca_nonlinear_PCA_autoencoder_3d.png
  • http://www.nlpca.org/validation-of-nonlinear-PCA.html
  • http://www.nlpca.org/matlab.html
  • http://www.nlpca.org/pca_principal_component_analysis.html
  • http://www.nlpca.org/ica_independent_component_analysis.html
  • http://www.nlpca.org

Possible email addresses for nlpca.org

  • info@nlpca.org
  • email@nlpca.org
  • support@nlpca.org
  • contact@nlpca.org
  • admin@nlpca.org
  • postmaster@nlpca.org
  • hostmaster@nlpca.org
  • domain@nlpca.org
  • abuse@nlpca.org

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