appstat.lal.in2p3.fr

trac.lal.in2p3.fr

Applied Statistics group

https://trac.lal.in2p3.fr/AppStat

SVN Multiboost Repository Migration : SVN. Git Tutorial : GIT. MultiBoost Testing Launch script : testex. Last modified on Jun 15, 2011, 2:14:30 PM. Download in other formats:. Powered by Trac 1.0.13. Visit the Trac open source project at. Http:/ trac.edgewall.org/.

groups.lal.in2p3.fr

Diaporama | Sites de Groupes au LAL

https://groups.lal.in2p3.fr/liste-des-sites/diaporama

Sites de Groupes au LAL. Evolution de la plateforme. Copies de cette plateforme. Inclure un fichier PDF. Mise a jour WP 4.6.1. Mise a jour WP 4.5.3. Membres de la plate-forme. Sites de Groupes au LAL.

siminole.lal.in2p3.fr

Participants | Siminole

https://siminole.lal.in2p3.fr/participants

Simulation, Inference, Optimization, Learning. LAL) at University of Paris-Sud. Machine Learning and Applied Statistics. PI), Róbert Busa-Fekete, Rémi Bardenet. François-David Collin, Matthias Brendel. Marcel Urban, Diego Garcia Gamez, Karim Louedec, Delphine Monnier-Ragaigne. LRI) at University of Paris-Sud. Machine Learning and Optimization. Niko Hansen, Michèle Sebag, Cécile Germain-Renaud, Verena Heidrich-Meisner, Youhei Akimoto. Laboratory for Communication and Processing of Information.

higgsml.lal.in2p3.fr

Organisation and thanks | The Higgs Machine Learning Challenge

https://higgsml.lal.in2p3.fr/organisation-and-thanks

The Higgs Machine Learning Challenge. Skip to primary content. Skip to secondary content. High Energy Physics links for ML. Machine Learning links for HEP. HEP meets ML award. The original idea came from few people in fall 2012. The organizing committee consists of :. LAL group and CDS Paris-Saclay. Cécile Germain : TAO-LRI group and Université Paris-Sud. David Rousseau : ATLAS-LAL group, Atlas Higgs into tau tau analysis group. Glen Cowan : Royal Holloway University London, Atlas statistics forum. We wo...

kaggle.com

Higgs Boson Machine Learning Challenge | Kaggle

https://www.kaggle.com/c/higgs-boson

Bull; $13,000 • 1,785 teams. Higgs Boson Machine Learning Challenge. Mon 12 May 2014. Ndash; Mon 15 Sep 2014 (23 months ago). R Code for AMS Metric. C# class for xgboost. HEPML workshop at NIPS14. Challenge follow up : creation of HEP-data-science@googlegroups.com. Raquo; Get the Data. Raquo; Make a submission. Use the ATLAS experiment to identify the Higgs boson. A key property of any particle is how often it decays into other particles. ATLAS. Is a particle physics experiment. Using simulated data with...

daspac.lal.in2p3.fr

About us | Data science in particle physics, astrophysics and cosmology

https://daspac.lal.in2p3.fr/about-us

Data science in particle physics, astrophysics and cosmology. More info: http:/ appstat.lal.in2p3.fr/. Is a laboratory of AIM. The scientific field of the CosmoStat interdisciplinary entity is Computational Cosmology. CosmoStat goals are:. Statistics and Signal Processing: Develop new methods for analyzing astronomical data, and especially in cosmology (PLANCK, EUCLID, etc) where the needs of powerful statistical methods are very important. Cosmology: Analyze and interpret data.