Maximum Likelihood Reconstruction for Ising Models with Asynchronous Updates

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Zeng, Hong-Li
dc.contributor.author Alava, Mikko J.
dc.contributor.author Aurell, Erik
dc.contributor.author Hertz, John
dc.contributor.author Roudi, Yasser
dc.date.accessioned 2015-11-25T10:02:37Z
dc.date.available 2015-11-25T10:02:37Z
dc.date.issued 2013
dc.identifier.citation Zeng, Hong-Li & Alava, Mikko J. & Aurell, Erik & Hertz, John & Roudi, Yasser. 2013. Maximum Likelihood Reconstruction for Ising Models with Asynchronous Updates. Physical Review Letters. Volume 110, Issue 21. 210601/1-5. ISSN 0031-9007 (printed). DOI: 10.1103/physrevlett.110.210601. en
dc.identifier.issn 0031-9007 (printed)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/18768
dc.description.abstract We describe how the couplings in an asynchronous kinetic Ising model can be inferred. We consider two cases: one in which we know both the spin history and the update times and one in which we know only the spin history. For the first case, we show that one can average over all possible choices of update times to obtain a learning rule that depends only on spin correlations and can also be derived from the equations of motion for the correlations. For the second case, the same rule can be derived within a further decoupling approximation. We study all methods numerically for fully asymmetric Sherrington-Kirkpatrick models, varying the data length, system size, temperature, and external field. Good convergence is observed in accordance with the theoretical expectations. en
dc.format.extent 210601/1-5
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher American Physical Society (APS) en
dc.relation.ispartofseries Physical Review Letters en
dc.relation.ispartofseries Volume 110, Issue 21
dc.rights © 2013 American Physical Society (APS). This is the accepted version of the following article: Zeng, Hong-Li & Alava, Mikko J. & Aurell, Erik & Hertz, John & Roudi, Yasser. 2013. Maximum Likelihood Reconstruction for Ising Models with Asynchronous Updates. Physical Review Letters. Volume 110, Issue 21. 210601/1-5. ISSN 0031-9007 (printed). DOI: 10.1103/physrevlett.110.210601, which has been published in final form at http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.110.210601. en
dc.subject.other Physics en
dc.title Maximum Likelihood Reconstruction for Ising Models with Asynchronous Updates en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.rights.holder American Physical Society (APS)
dc.contributor.school Perustieteiden korkeakoulu fi
dc.contributor.school School of Science en
dc.contributor.department Teknillisen fysiikan laitos fi
dc.contributor.department Department of Applied Physics en
dc.subject.keyword Ising models en
dc.subject.keyword asynchronous updates en
dc.subject.keyword spin correlations en
dc.subject.keyword herrington-Kirkpatrick models en
dc.identifier.urn URN:NBN:fi:aalto-201511255279
dc.type.dcmitype text en
dc.identifier.doi 10.1103/physrevlett.110.210601
dc.type.version Final published version en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search archive


Advanced Search

article-iconSubmit a publication

Browse

My Account