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pro vyhledávání: '"Mummaneni, Bharadwaj Chowdary"'
Feature selection is crucial for enhancing the accuracy and efficiency of machine learning (ML) models. This work investigates the utility of quantum annealing for the feature selection process in an ML-pipeline, used for maximizing the mutual inform
Externí odkaz:
http://arxiv.org/abs/2411.19609
Publikováno v:
Physical Chemistry Chemical Physics (PCCP); 7/21/2024, Vol. 26 Issue 27, p18816-18827, 12p
Autor:
Tutschku, Christian Klaus, Sturm, Andreas, Knäble, Florian, Mummaneni, Bharadwaj Chowdary, Pranjic, Daniel, Stephan, Chiara, Mayer, Daniel Benjamin, Koßmann, Gereon, Roth, Marco, Matt, Paul-Amaury, Grigorjan, Arthur, Wellens, Thomas, König, Kathrin, Beisel, Martin, Truger, Felix, Shagieva, Farida, Denninger, Oliver, Garhofer, Simon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a7ba38aa1a82711cbf17bef243162ca
Publikováno v:
Journal of Physical Chemistry Letters; 3/24/2022, Vol. 13 Issue 11, p2479-2485, 7p