« Avec intervention humaine » : différence entre les versions
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refers to the process of inserting humans into machine learning processes to optimize outputs and boost accuracy. HITL is widely recognized as a best practice technique in machine learning: examples include Facebook’s photo recognition algorithm which invites users to confirm the identity of a photo’s subject when its confidence falls below a certain level. | refers to the process of inserting humans into machine learning processes to optimize outputs and boost accuracy. HITL is widely recognized as a best practice technique in machine learning: examples include Facebook’s photo recognition algorithm which invites users to confirm the identity of a photo’s subject when its confidence falls below a certain level. | ||
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[https://www.accenture.com/us-en/applied-intelligence-glossary Source : Accenture - applied intelligence glossary ] | [https://www.accenture.com/us-en/applied-intelligence-glossary Source : Accenture - applied intelligence glossary ] | ||
Version du 9 juin 2020 à 20:06
en construction
Définition
Français
Anglais
Human-in-the-loop
refers to the process of inserting humans into machine learning processes to optimize outputs and boost accuracy. HITL is widely recognized as a best practice technique in machine learning: examples include Facebook’s photo recognition algorithm which invites users to confirm the identity of a photo’s subject when its confidence falls below a certain level.
Contributeurs: Imane Meziani, Isaline Hodecent, wiki
