jstar2016 : Journées de Statistique de Rennes - 13e édition
20-21 Oct 2016 Rennes (France)
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Invited speakers
Alexandre Gramfort
, Telecom ParisTech
Guillaume Gravier
, IRISA
Pierre Lafaye de Micheaux
(ENSAI Rennes)
Erwan Le Pennec
, Ecole Polytechnique
Giovanni Montana
, King’s College London
Fionn Murtagh
, Univ. London
Jean-Luc Starck
, CEA Saclay
Mark van de Wiel
, Univ. Amsterdam
Nathalie Villa-Vialaneix
, INRA Toulouse
Zinnya Del Villar
, Data2b Rennes
Titles and abstracts
Alexandre Gramfort:
When machines look at neurons: machine learning with neuroscience time series
Guillaume Gravier:
Analysis and mining of multimedia collections: How can statistics help?
Pierre Lafaye de Micheaux:
A Unied Regularized Group PLS Algorithm Scalable to Big Data
Erwan Le Pennec:
Probablistic and Optimization Approaches in Classification
Fionn Murtagh:
Addressing New Challenges, including Ethics, of Big Data Analytics, with the Correspondence Analysis and Geometric Data Analysis Platform
Jean-Luc Starck:
Cosmology and its Data Flood Challenge
Mark van de Wiel:
How to learn from a lot: Empirical Bayes in high-dimensional prediction settings
Nathalie Villa-Vialaneix:
Random Forests for Big Data
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