JP2022520731A5 - - Google Patents
Info
- Publication number
- JP2022520731A5 JP2022520731A5 JP2021544257A JP2021544257A JP2022520731A5 JP 2022520731 A5 JP2022520731 A5 JP 2022520731A5 JP 2021544257 A JP2021544257 A JP 2021544257A JP 2021544257 A JP2021544257 A JP 2021544257A JP 2022520731 A5 JP2022520731 A5 JP 2022520731A5
- Authority
- JP
- Japan
- Prior art keywords
- input data
- result
- scale
- aforementioned
- machine learning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP19154992.2A EP3690739A1 (en) | 2019-02-01 | 2019-02-01 | Confidence measure for a deployed machine learning model |
| EP19154992.2 | 2019-02-01 | ||
| PCT/EP2020/051317 WO2020156864A1 (en) | 2019-02-01 | 2020-01-21 | Confidence measure for a deployed machine learning model |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022520731A JP2022520731A (ja) | 2022-04-01 |
| JP2022520731A5 true JP2022520731A5 (https=) | 2023-07-06 |
| JP7479387B2 JP7479387B2 (ja) | 2024-05-08 |
Family
ID=65408873
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021544257A Active JP7479387B2 (ja) | 2019-02-01 | 2020-01-21 | デプロイされた機械学習モデルの信頼尺度 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11880432B2 (https=) |
| EP (2) | EP3690739A1 (https=) |
| JP (1) | JP7479387B2 (https=) |
| CN (1) | CN113661498B (https=) |
| WO (1) | WO2020156864A1 (https=) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210264283A1 (en) * | 2020-02-24 | 2021-08-26 | International Business Machines Corporation | Dataset creation for deep-learning model |
| US11775764B2 (en) * | 2020-04-20 | 2023-10-03 | International Business Machines Corporation | Estimating output confidence for black-box API |
| CN115803775A (zh) * | 2020-06-30 | 2023-03-14 | 索尼集团公司 | 判断支持装置、信息处理装置和训练方法 |
| CN112115997B (zh) * | 2020-09-11 | 2022-12-02 | 苏州浪潮智能科技有限公司 | 一种物体识别模型的训练方法、系统及装置 |
| CN116368509A (zh) * | 2021-01-28 | 2023-06-30 | 甲骨文国际公司 | 用于确定自动化模型生成中模型部署的模型适合度和稳定性的系统和方法 |
| US12585506B2 (en) | 2021-01-28 | 2026-03-24 | Oracle International Corporation | System and method for determination of model fitness and stability for model deployment in automated model generation |
| US20220335315A1 (en) * | 2021-04-20 | 2022-10-20 | Red Hat, Inc. | Application of local interpretable model-agnostic explanations on decision systems without training data |
| US12505660B2 (en) * | 2021-12-29 | 2025-12-23 | Samsung Electronics Co., Ltd. | Image processing method and apparatus using convolutional neural network |
| JP7644881B1 (ja) * | 2024-06-03 | 2025-03-13 | 株式会社エクサウィザーズ | 情報処理方法、プログラム及び情報処理システム |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11319A (ja) * | 1997-06-13 | 1999-01-06 | Nec Corp | 生体内部活動部位推定装置 |
| EP1636731A2 (en) * | 2003-06-25 | 2006-03-22 | Siemens Medical Solutions USA, Inc. | Systems and methods for automated diagnosis and decision support for breast imaging |
| US20050004788A1 (en) * | 2003-07-03 | 2005-01-06 | Lee Hang Shun Raymond | Multi-level confidence measures for task modeling and its application to task-oriented multi-modal dialog management |
| JP5113797B2 (ja) | 2009-04-17 | 2013-01-09 | 日本電信電話株式会社 | 相違度利用型識別的学習装置とその方法、そのプログラム |
| US10417575B2 (en) * | 2012-12-14 | 2019-09-17 | Microsoft Technology Licensing, Llc | Resource allocation for machine learning |
| US9373087B2 (en) * | 2012-10-25 | 2016-06-21 | Microsoft Technology Licensing, Llc | Decision tree training in machine learning |
| CN103150578A (zh) * | 2013-04-09 | 2013-06-12 | 山东师范大学 | 一种基于半监督学习的支持向量机分类器训练方法 |
| US10055843B2 (en) * | 2015-03-31 | 2018-08-21 | Mayo Foundation For Medical Education And Research | System and methods for automatic polyp detection using convulutional neural networks |
| CN107810519B (zh) * | 2015-06-30 | 2022-01-25 | 皇家飞利浦有限公司 | 用于配准图像的配准装置和方法 |
| WO2017042812A2 (en) | 2015-09-10 | 2017-03-16 | Magentiq Eye Ltd. | A system and method for detection of suspicious tissue regions in an endoscopic procedure |
| WO2020082029A1 (en) * | 2018-10-18 | 2020-04-23 | The Regents Of The University Of California | Serodiagnostic testing device and system for early-stage lyme disease using a multiplexed immunoassay |
| US11829896B2 (en) * | 2019-07-11 | 2023-11-28 | Ghost Autonomy Inc. | Uncertainty-based data filtering in a vehicle |
| WO2021142069A1 (en) * | 2020-01-07 | 2021-07-15 | Alegion, Inc. | System and method for guided synthesis of training data |
-
2019
- 2019-02-01 EP EP19154992.2A patent/EP3690739A1/en not_active Withdrawn
-
2020
- 2020-01-21 WO PCT/EP2020/051317 patent/WO2020156864A1/en not_active Ceased
- 2020-01-21 EP EP20701050.5A patent/EP3918521B1/en active Active
- 2020-01-21 US US17/426,759 patent/US11880432B2/en active Active
- 2020-01-21 CN CN202080027009.5A patent/CN113661498B/zh active Active
- 2020-01-21 JP JP2021544257A patent/JP7479387B2/ja active Active
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