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UID:8734@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20260126T140000
DTEND;TZID=Europe/Paris:20260126T150000
DTSTAMP:20260204T085755Z
URL:https://www.i2m.univ-amu.fr/evenements/seminaire-de-mathilde-mougeot/
SUMMARY:Mathilde Mougeot (ensIIE & ENS Paris-Saclay): Séminaire de Mathild
 e Mougeot
DESCRIPTION:Mathilde Mougeot: Lien vers les diapositives de la présentatio
 n\n\n&nbsp\;\nMachine learning and numerical simulations.\nInterplay betwe
 en data and physical models.\n \nIn recent years\, considerable progress 
 has been made in implementing decision support procedures based on machine
  learning methods through the use of very large databases and learning alg
 orithms.\nIn many application areas\, the available databases are modest i
 n size\, raising the question of whether it is reasonable\, in this contex
 t\, to seek to develop powerful tools based on machine learning techniques
 .  This presentation describes hybrid models that use knowledge from phys
 ics to implement effective machine learning models with an economy of data
 .
CATEGORIES:Séminaire,Statistique
LOCATION:Saint-Charles - FRUMAM  (2ème étage)\, 3 Place Victor Hugo\, Mar
 seille\, 13003\, France
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 ille\, 13003\, France;X-APPLE-RADIUS=100;X-TITLE=Saint-Charles - FRUMAM  (
 2ème étage):geo:0,0
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DTSTART:20251026T020000
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