Bulletin of the American Physical Society
APS March Meeting 2016
Volume 61, Number 2
Monday–Friday, March 14–18, 2016; Baltimore, Maryland
Session F41: Maximum Entropy Models: A Promising Link Between Statistical Physics, Inference, and Biology
11:15 AM–2:15 PM,
Tuesday, March 15, 2016
Room: 344
Sponsoring
Units:
DBIO GSNP GSOFT
Chair: Gasper Tkacik, IST Austria
Abstract ID: BAPS.2016.MAR.F41.4
Abstract: F41.00004 : Learning Maximal Entropy Models from finite size datasets: a fast Data-Driven algorithm allows to sample from the posterior distribution.*
11:51 AM–12:03 PM
Preview Abstract Abstract
Author:
Ulisse Ferrari
(Institut de la Vision, Sorbonne Universit\' es, UPMC, INSERM U968, CNRS, UMR\_ 7210, Paris, F-75012, France.)
*This research was supported by a grant from the Human Brain Project (HBP CLAP)
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2016.MAR.F41.4
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