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L'Humain dans l'Apprentissage Automatique Interactif : aperçu de l'état de l'art

Abstract : Interactive Machine Learning (IML) systems involve the cooperation of a human user and a machine learner in order to accomplish the tasks desired by the human. We propose in this paper an overview of the state of the art of human integration in these systems. To do so, we conduct a survey of recent literature on machine learning solutions with the human in the loop, and identify the means implemented to take into account and assist the human.
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https://hal.archives-ouvertes.fr/hal-03765539
Contributor : Maxime Guériau Connect in order to contact the contributor
Submitted on : Wednesday, August 31, 2022 - 12:03:08 PM
Last modification on : Saturday, October 29, 2022 - 11:34:01 AM

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RJCIA22_paper15.pdf
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  • HAL Id : hal-03765539, version 2

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Kévin Delcourt, Jean-Paul Arcangeli, Sylvie Trouilhet, Françoise Adreit. L'Humain dans l'Apprentissage Automatique Interactif : aperçu de l'état de l'art. 20èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA 2022), AFIA, Jun 2022, Saint-Etienne, France. pp.100-107. ⟨hal-03765539v2⟩

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