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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Original language	English
Title of host publication	JMLR Workshop and Conference Proceedings : Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models
Number of pages	12
Publication date	2016
Pages	415-425
Publication status	Published - 2016
Event	Probabilistic Graphical Models - Lugano, Switzerland Duration: 6 Sept 2016 → 9 Sept 2016

Conference

Conference	Probabilistic Graphical Models
Location	Lugano
Country/Territory	Switzerland
Period	06/09/2016 → 09/09/2016

Series	JMLR Workshop and Conference Proceedings
Volume	52
ISSN	1938-7228

Access to Document

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

AUB Link

Search for the material in Aalborg University Library's search engine

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
Project: Research

Cite this

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. In JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models (pp. 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. in JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. JMLR Workshop and Conference Proceedings, vol. 52, pp. 415-425, Probabilistic Graphical Models, Switzerland, 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. p. 415-425 (JMLR Workshop and Conference Proceedings, Vol. 52).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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 -

Ramos-López D, Salmerón A, Rumí R, Martinez AM, Nielsen TD, Masegosa A et al. Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. In JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. 2016. p. 415-425. (JMLR Workshop and Conference Proceedings, Vol. 52).

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

Conference

Access to Document

AUB Link

Projects

AMIDST: Analysis of MassIve Data STreams - AMIDST

Cite this