Scalable MAP inference in Bayesian networks based on a Map-Reduce approach

Darío Ramos-López; Antonio Salmerón; Rafael Rumí; Ana M. Martinez; Thomas Dyhre Nielsen; Andres Masegosa; Helge Langseth; Anders Læsø Madsen

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach

Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martinez, Thomas Dyhre Nielsen, Andres Masegosa, Helge Langseth, Anders Læsø Madsen

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Originalsprog	Engelsk
Titel	JMLR Workshop and Conference Proceedings : Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models
Antal sider	12
Publikationsdato	2016
Sider	415-425
Status	Udgivet - 2016
Begivenhed	Probabilistic Graphical Models - Lugano, Schweiz Varighed: 6 sep. 2016 → 9 sep. 2016

Konference

Konference	Probabilistic Graphical Models
Lokation	Lugano
Land/Område	Schweiz
Periode	06/09/2016 → 09/09/2016

Navn	JMLR Workshop and Conference Proceedings
Vol/bind	52
ISSN	1938-7228

Adgang til dokumentet

http://www.jmlr.org/proceedings/papers/v52/ramos-lopez16.pdf

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

AMIDST: Analysis of MassIve Data STreams - AMIDST
Madsen, A. L., Rommerdahl Bock, A., Nielsen, T. D. & Martinez, A. M.
European Union’s Seventh Framework Programme for research, technological development and demonstration
01/01/2014 → 31/12/2016
Projekter: Projekt › Forskning

Citationsformater

Ramos-López, D., Salmerón, A., Rumí, R., Martinez, A. M., Nielsen, T. D., Masegosa, A., Langseth, H., & Madsen, A. L. (2016). Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. I JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models (s. 415-425) http://www.jmlr.org/proceedings/papers/v52/ramos-lopez16.pdf

@inproceedings{be63c2b7110844eabce03779f40170b3,

title = "Scalable MAP inference in Bayesian networks based on a Map-Reduce approach",

author = "Dar{\'i}o Ramos-L{\'o}pez and Antonio Salmer{\'o}n and Rafael Rum{\'i} and Martinez, {Ana M.} and Nielsen, {Thomas Dyhre} and Andres Masegosa and Helge Langseth and Madsen, {Anders L{\ae}s{\o}}",

year = "2016",

language = "English",

series = "JMLR Workshop and Conference Proceedings",

pages = "415--425",

booktitle = "JMLR Workshop and Conference Proceedings",

note = "Probabilistic Graphical Models ; Conference date: 06-09-2016 Through 09-09-2016",

}

Ramos-López, D, Salmerón, A, Rumí, R, Martinez, AM, Nielsen, TD, Masegosa, A, Langseth, H & Madsen, AL 2016, Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. i JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. JMLR Workshop and Conference Proceedings, bind 52, s. 415-425, Probabilistic Graphical Models, Schweiz, 06/09/2016. <http://www.jmlr.org/proceedings/papers/v52/ramos-lopez16.pdf>

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. / Ramos-López, Darío; Salmerón, Antonio; Rumí, Rafael et al.
JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. 2016. s. 415-425 (JMLR Workshop and Conference Proceedings, Bind 52).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Scalable MAP inference in Bayesian networks based on a Map-Reduce approach

AU - Ramos-López, Darío

AU - Salmerón, Antonio

AU - Rumí, Rafael

AU - Martinez, Ana M.

AU - Nielsen, Thomas Dyhre

AU - Masegosa, Andres

AU - Langseth, Helge

AU - Madsen, Anders Læsø

PY - 2016

Y1 - 2016

M3 - Article in proceeding

T3 - JMLR Workshop and Conference Proceedings

SP - 415

EP - 425

BT - JMLR Workshop and Conference Proceedings

T2 - Probabilistic Graphical Models

Y2 - 6 September 2016 through 9 September 2016

ER -

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach

Konference

Adgang til dokumentet

AUB Link

Projekter

AMIDST: Analysis of MassIve Data STreams - AMIDST

Citationsformater