Invention Grant
- Patent Title: System and method to improve accuracy of regression models trained with imbalanced data
-
Application No.: US16661866Application Date: 2019-10-23
-
Publication No.: US11720818B2Publication Date: 2023-08-08
- Inventor: Javier Ribera Prat , Jalil Kamali
- Applicant: Samsung Display Co., Ltd.
- Applicant Address: KR Yongin-si
- Assignee: Samsung Display Co., Ltd.
- Current Assignee: Samsung Display Co., Ltd.
- Current Assignee Address: KR Yongin-si
- Agency: Lewis Roca Rothgerber Christie LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F17/18 ; G06N3/084

Abstract:
A method for training a machine learning model includes: receiving, by a computer system including a processor and memory, a training data set including imbalanced data; computing, by the computer system, a label density fX(x) in the training data set, computing, by the computer system, a weight function w(x) including a term that is inversely proportional to the label density; weighting, by the computer system, a loss function (x, {circumflex over (x)}) in accordance with the weight function to generate a weighted loss function w(x, {circumflex over (x)}); training, by the computer system, a continuous machine learning model in accordance with the training data set and the weighted loss function w(x, {circumflex over (x)}); and outputting, by the computer system, the trained continuous machine learning model.
Public/Granted literature
- US20210073675A1 SYSTEM AND METHOD TO IMPROVE ACCURACY OF REGRESSION MODELS TRAINED WITH IMBALANCED DATA Public/Granted day:2021-03-11
Information query