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pro vyhledávání: '"Salmaso Luigi"'
An increasing number of publications present the joint application of Design of Experiments (DOE) and machine learning (ML) as a methodology to collect and analyze data on a specific industrial phenomenon. However, the literature shows that the choic
Externí odkaz:
http://arxiv.org/abs/2201.10239
Autor:
Antonelli, Giovanni, Giancristofaro, Rosa Arboretti, Ceccato, Riccardo, Centomo, Paolo, Pegoraro, Luca, Salmaso, Luigi, Zecca, Marco
In machine learning one of the strategic tasks is the selection of only significant variables as predictors for the response(s). In this paper an approach is proposed which consists in the application of permutation tests on the candidate predictor v
Externí odkaz:
http://arxiv.org/abs/2006.00864
Publikováno v:
In Expert Systems With Applications 1 March 2023 213 Part A
Publikováno v:
In Building and Environment December 2022 226
Publikováno v:
In Chemometrics and Intelligent Laboratory Systems 15 July 2022 226
Hypothesis tests based on linear models are widely accepted by organizations that regulate clinical trials. These tests are derived using strong assumptions about the data-generating process so that the resulting inference can be based on parametric
Externí odkaz:
http://arxiv.org/abs/1702.04851
Akademický článek
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Autor:
Maccarone, Maria Chiara, Barzizza, Elena, Contessa, Paola, Biancato, Alyssa, Caregnato, Allegra, Fontana, Rosanna, Ceccato, Riccardo, Salmaso, Luigi, Masiero, Stefano
Publikováno v:
European Journal of Translational Myology; 2024, Vol. 34 Issue 3, p1-7, 7p
We compare different permutation tests and some parametric counterparts that are applicable to unbalanced designs in two by two designs. First the different approaches are shortly summarized. Then we investigate the behavior of the tests in a simulat
Externí odkaz:
http://arxiv.org/abs/1309.7781