Cargando…
PHYSTAT seminar: On relating Uncertainties in Machine Learning and HEP
<!--HTML--><p><span style="color:rgb(0,0,0);"><span style="-webkit-text-size-adjust:auto;-webkit-text-stroke-width:0px;caret-color:rgb(0, 0, 0);display:inline !important;float:none;font-family:Helvetica;font-size:13px;font-style:normal;font-variant-caps:normal;fon...
Autor principal: | Kagan, Michael |
---|---|
Lenguaje: | eng |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2842460 |
Ejemplares similares
-
PHYSTAT Seminar: A general introduction to continuous optimization
por: Mueller, Christian
Publicado: (2019) -
PHYSTAT Seminar: Accelerating Bayesian Computation: Parallelizing Markov Chain Monte Carlo
por: Caldwell, Allen
Publicado: (2020) -
PHYSTAT seminar: From COVID-19 Testing to Election Prediction: How Small Are Our Big Data?
por: Meng, Xiao-Li
Publicado: (2021) -
HEP technologies to address medical imaging challenges
por: Lecoq, Paul Rene Michel
Publicado: (2016) -
Learning to discover: machine learning in high-energy physics
por: Kégl, Balázs
Publicado: (2014)