Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Andrea Bommert"'
Autor:
Marieke Stolte, Nicholas Schreck, Alla Slynko, Maral Saadati, Axel Benner, Jörg Rahnenführer, Andrea Bommert
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0299989 (2024)
Simulation is a crucial tool for the evaluation and comparison of statistical methods. How to design fair and neutral simulation studies is therefore of great interest for both researchers developing new methods and practitioners confronted with the
Externí odkaz:
https://doaj.org/article/e231b4d5b6014a938d68a234ba7635bd
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030954666
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89cb85ae865ec80afd1c84893de209fc
https://doi.org/10.1007/978-3-030-95467-3_6
https://doi.org/10.1007/978-3-030-95467-3_6
Publikováno v:
Briefings in Bioinformatics
Feature selection is crucial for the analysis of high-dimensional data, but benchmark studies for data with a survival outcome are rare. We compare 14 filter methods for feature selection based on 11 high-dimensional gene expression survival data set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f461439db98eb830a298748057fd081
https://doi.org/10.1093/bib/bbab354
https://doi.org/10.1093/bib/bbab354
Autor:
Andrea Bommert, Jörg Rahnenführer
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030645823
LOD (1)
LOD (1)
For data sets with similar features, for example highly correlated features, most existing stability measures behave in an undesired way: They consider features that are almost identical but have different identifiers as different features. Existing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1078974726ed8fabdf0bc4d97884a60e
https://doi.org/10.1007/978-3-030-64583-0_19
https://doi.org/10.1007/978-3-030-64583-0_19
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030295158
IntelliSys (1)
IntelliSys (1)
A novel machine learning optimization process coined Restrictive Federated Model Selection (RFMS) is proposed under the scenario, for example, when data from healthcare units can not leave the site it is situated on and it is forbidden to carry out t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3487a83d07c9bf9dd2a69f79281537db
https://doi.org/10.1007/978-3-030-29516-5_48
https://doi.org/10.1007/978-3-030-29516-5_48
Autor:
Andrea Bommert, Michel Lang
Publikováno v:
Journal of Open Source Software. 6:3010
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20b3a17fe8f5e42d17797a22666f5377
https://doi.org/10.21105/joss.03010
https://doi.org/10.21105/joss.03010
Publikováno v:
Computational Statistics & Data Analysis. 143:106839
Feature selection is one of the most fundamental problems in machine learning and has drawn increasing attention due to high-dimensional data sets emerging from different fields like bioinformatics. For feature selection, filter methods play an impor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::912118a22359939f21c2d9f378cf17e2
https://doi.org/10.1016/j.csda.2019.106839
https://doi.org/10.1016/j.csda.2019.106839