Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mirko Bunse"'
Autor:
Katharina Morik, Mirko Bunse
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030865191
ECML/PKDD (2)
ECML/PKDD (2)
Active class selection provides machine learning practitioners with the freedom to actively choose the class proportions of their training data. While this freedom can improve the model performance and decrease the data acquisition cost, it also puts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf8e8e379d83949d6ac944dd072417a
https://doi.org/10.1007/978-3-030-86520-7_17
https://doi.org/10.1007/978-3-030-86520-7_17
Publikováno v:
ICDM
The goal of active class selection (ACS) is to optimize the class proportions in newly acquired data; a classifier trained from that data should exhibit maximum performance during its deployment. This paper provides an information-theoretic examinati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78838f9c510e50216afb2a83a5bf8934
https://doi.org/10.1109/icdm50108.2020.00106
https://doi.org/10.1109/icdm50108.2020.00106
Publikováno v:
DSAA
Obtaining the distribution of a physical quantity is a frequent objective in experimental physics. In cases where the distribution of the relevant quantity cannot be accessed experimentally, it has to be reconstructed from distributions of correlated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33e6346bdfcc5f7051a7debecae5dfa8
https://doi.org/10.1109/dsaa.2018.00012
https://doi.org/10.1109/dsaa.2018.00012