公开(公告)号：US20250053885A1

公开(公告)日：2025-02-13

申请号：US18928402

申请日：2024-10-28

Applicant: ABB Schweiz AG

Inventor： Benedikt Schmidt ,  Benjamin Kloepper ,  Arzam Muzaffar Kotriwala ,  Yemao Man ,  Dawid Ziobro ,  Gayathri Gopalakrishnan ,  Joakim Astrom ,  Marcel Dix ,  Divyasheel Sharma

IPC: G06N20/20

Abstract: A method for explanation of machine learning results based on using a model collection includes training at least two machine learning models with at least two competing strategies for the at least one dataset; and using the least two machine learning models to yield at least two different predictions and/or at least two explanations for the at least one dataset.

公开(公告)号：US20250053879A1

公开(公告)日：2025-02-13

申请号：US18928369

申请日：2024-10-28

Applicant: ABB Schweiz AG

Inventor： Dawid Ziobro ,  Benjamin Kloepper ,  Marcel Dix ,  Benedikt Schmidt ,  Arzam Muzaffar Kotriwala ,  Yemao Man ,  Divyasheel Sharma ,  Gayathri Gopalakrishnan ,  Joakim Astrom

IPC: G06N20/00

Abstract: A method for enabling user feedback and summarizing return of investment for machine learning systems includes providing a training data set and an initial machine learning model; providing a result of the initial machine learning model; receiving feedback on the result of the initial machine learning model from a user enriching the training dataset based on the feedback to an enriched data set; and retraining the initial machine learning model to a retrained machine learning model based on an enriched data set.