A Java Toolbox for Analysis of MassIve Data STreams using Probabilistic Graphical Models

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

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskningpeer review

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Abstrakt

Description:
• Analysis of big data streams: A complete collection of algorithms for inference and learning of both static and dynamic Bayesian networks from streaming data. Existing software systems for PGMs only focus on stationary datasets.
• Distributed parallel algorithms: AMIDST provides parallel multi-core and distributed implementations of Bayesian parameter learning, using streaming variational Bayes and variational message passing.
OriginalsprogEngelsk
Publikationsdato2016
StatusUdgivet - 2016
BegivenhedEuropean Data Forum 2016: EDF - Eindhoven, Holland
Varighed: 29 jun. 201630 jun. 2016
http://2016.data-forum.eu

Konference

KonferenceEuropean Data Forum 2016
LandHolland
ByEindhoven
Periode29/06/201630/06/2016
Internetadresse

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