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ZENODO
Software . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2019
License: CC BY
Data sources: ZENODO
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Claim

BoltzMM: an R package for maximum pseudolikelihood estimation of fully-visible Boltzmann machines

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Jan 2019Publisher:Zenodo
Authors: Andrew Jones; Hien Nguyen; Jessica Bagnall;

doi: 10.5281/zenodo.2538255 , 10.5281/zenodo.2563411

BoltzMM: an R package for maximum pseudolikelihood estimation of fully-visible Boltzmann machines

Abstract

Provides probability computation, data generation, and model estimation for fully-visible Boltzmann machines. It follows the methods described in Nguyen and Wood (2016a) <doi:10.1162/NECO_a_00813> and Nguyen and Wood (2016b) <doi:10.1109/TNNLS.2015.2425898>

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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