Feature maximization: a new large-scope metric especially adapted to big, noisy and complex data statistics - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2020

Feature maximization: a new large-scope metric especially adapted to big, noisy and complex data statistics

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Neural and Evolutionary Computing [cs.NE] Artificial Intelligence [cs.AI] Machine Learning [stat.ML]

Jean-Charles Lamirel  : Connect in order to contact the contributor

https://inria.hal.science/hal-03180582

Submitted on : Thursday, March 25, 2021-10:39:49 AM

Last modification on : Thursday, February 1, 2024-10:05:33 AM

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hal-03180582 , version 1 (25-03-2021)

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  • HAL Id : hal-03180582 , version 1

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Jean-Charles Lamirel. Feature maximization: a new large-scope metric especially adapted to big, noisy and complex data statistics. 14th International Conference on Operations Research (ICOR 2020), Mar 2020, La Havane, Cuba. ⟨hal-03180582⟩

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