Výsledky vyhledávání - "Donald Honeycutt"

Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy

Autor: Donald Honeycutt, Mahsan Nourani, Eric Ragan

Publikováno v: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 8:63-72

Mixed-initiative systems allow users to interactively provide feedback to potentially improve system performance. Human feedback can correct model errors and update model parameters to dynamically adapt to changing data. Additionally, many users desi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8fbce1a4fcab29a3524b4cfee9d9aeb5
https://doi.org/10.1609/hcomp.v8i1.7464

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