Population-Contrastive-Divergence: Does consistency help with RBM training?

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Population-Contrastive-Divergence : Does consistency help with RBM training? / Krause, Oswin; Fischer, Asja; Igel, Christian.

I: Pattern Recognition Letters, Bind 102, 2018, s. 1-7.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Krause, O, Fischer, A & Igel, C 2018, 'Population-Contrastive-Divergence: Does consistency help with RBM training?', Pattern Recognition Letters, bind 102, s. 1-7. https://doi.org/10.1016/j.patrec.2017.11.022

APA

Krause, O., Fischer, A., & Igel, C. (2018). Population-Contrastive-Divergence: Does consistency help with RBM training? Pattern Recognition Letters, 102, 1-7. https://doi.org/10.1016/j.patrec.2017.11.022

Vancouver

Krause O, Fischer A, Igel C. Population-Contrastive-Divergence: Does consistency help with RBM training? Pattern Recognition Letters. 2018;102:1-7. https://doi.org/10.1016/j.patrec.2017.11.022

Author

Krause, Oswin ; Fischer, Asja ; Igel, Christian. / Population-Contrastive-Divergence : Does consistency help with RBM training?. I: Pattern Recognition Letters. 2018 ; Bind 102. s. 1-7.

Bibtex

@article{e0cef4723432457ba3583861fcd1b973,
title = "Population-Contrastive-Divergence: Does consistency help with RBM training?",
keywords = "Restricted Boltzmann machine, Markov chain Monte Carlo, Contrastive divergence, Population Monte Carlo",
author = "Oswin Krause and Asja Fischer and Christian Igel",
year = "2018",
doi = "10.1016/j.patrec.2017.11.022",
language = "English",
volume = "102",
pages = "1--7",
journal = "Pattern Recognition Letters",
issn = "0167-8655",
publisher = "Elsevier BV * North-Holland",

}

RIS

TY - JOUR

T1 - Population-Contrastive-Divergence

T2 - Does consistency help with RBM training?

AU - Krause, Oswin

AU - Fischer, Asja

AU - Igel, Christian

PY - 2018

Y1 - 2018

KW - Restricted Boltzmann machine

KW - Markov chain Monte Carlo

KW - Contrastive divergence

KW - Population Monte Carlo

U2 - 10.1016/j.patrec.2017.11.022

DO - 10.1016/j.patrec.2017.11.022

M3 - Journal article

VL - 102

SP - 1

EP - 7

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

ER -

ID: 203242608