SG11202106315QA - Explainability-based adjustment of machine learning models - Google Patents
Explainability-based adjustment of machine learning modelsInfo
- Publication number
- SG11202106315QA SG11202106315QA SG11202106315QA SG11202106315QA SG11202106315QA SG 11202106315Q A SG11202106315Q A SG 11202106315QA SG 11202106315Q A SG11202106315Q A SG 11202106315QA SG 11202106315Q A SG11202106315Q A SG 11202106315QA SG 11202106315Q A SG11202106315Q A SG 11202106315QA
- Authority
- SG
- Singapore
- Prior art keywords
- explainability
- machine learning
- learning models
- based adjustment
- adjustment
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
- G06N5/045—Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9038—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
- G06N5/046—Forward inferencing; Production systems
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Computational Linguistics (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Databases & Information Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Machine Translation (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- User Interface Of Digital Computer (AREA)
- Debugging And Monitoring (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US16/221,039 US20200193313A1 (en) | 2018-12-14 | 2018-12-14 | Interpretability-based machine learning adjustment during production |
PCT/US2019/066296 WO2020123985A1 (en) | 2018-12-14 | 2019-12-13 | Explainability-based adjustment of machine learning models |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202106315QA true SG11202106315QA (en) | 2021-07-29 |
Family
ID=69591711
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202106315QA SG11202106315QA (en) | 2018-12-14 | 2019-12-13 | Explainability-based adjustment of machine learning models |
Country Status (7)
Country | Link |
---|---|
US (2) | US20200193313A1 (en) |
EP (1) | EP3895077A1 (en) |
JP (1) | JP2022514508A (en) |
KR (1) | KR20210141917A (en) |
AU (1) | AU2019395267A1 (en) |
SG (1) | SG11202106315QA (en) |
WO (1) | WO2020123985A1 (en) |
Families Citing this family (40)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10678244B2 (en) | 2017-03-23 | 2020-06-09 | Tesla, Inc. | Data synthesis for autonomous control systems |
US10671349B2 (en) | 2017-07-24 | 2020-06-02 | Tesla, Inc. | Accelerated mathematical engine |
US11157441B2 (en) | 2017-07-24 | 2021-10-26 | Tesla, Inc. | Computational array microprocessor system using non-consecutive data formatting |
US11409692B2 (en) | 2017-07-24 | 2022-08-09 | Tesla, Inc. | Vector computational unit |
US11893393B2 (en) | 2017-07-24 | 2024-02-06 | Tesla, Inc. | Computational array microprocessor system with hardware arbiter managing memory requests |
US11561791B2 (en) | 2018-02-01 | 2023-01-24 | Tesla, Inc. | Vector computational unit receiving data elements in parallel from a last row of a computational array |
US11215999B2 (en) | 2018-06-20 | 2022-01-04 | Tesla, Inc. | Data pipeline and deep learning system for autonomous driving |
US11361457B2 (en) | 2018-07-20 | 2022-06-14 | Tesla, Inc. | Annotation cross-labeling for autonomous control systems |
US11636333B2 (en) | 2018-07-26 | 2023-04-25 | Tesla, Inc. | Optimizing neural network structures for embedded systems |
US11562231B2 (en) | 2018-09-03 | 2023-01-24 | Tesla, Inc. | Neural networks for embedded devices |
SG11202103493QA (en) | 2018-10-11 | 2021-05-28 | Tesla Inc | Systems and methods for training machine models with augmented data |
US11196678B2 (en) | 2018-10-25 | 2021-12-07 | Tesla, Inc. | QOS manager for system on a chip communications |
US11816585B2 (en) | 2018-12-03 | 2023-11-14 | Tesla, Inc. | Machine learning models operating at different frequencies for autonomous vehicles |
US11537811B2 (en) | 2018-12-04 | 2022-12-27 | Tesla, Inc. | Enhanced object detection for autonomous vehicles based on field view |
US11610117B2 (en) | 2018-12-27 | 2023-03-21 | Tesla, Inc. | System and method for adapting a neural network model on a hardware platform |
US11537936B2 (en) * | 2019-01-17 | 2022-12-27 | Servicenow, Inc. | Data set generation for testing of machine learning pipelines |
US10997461B2 (en) | 2019-02-01 | 2021-05-04 | Tesla, Inc. | Generating ground truth for machine learning from time series elements |
US11567514B2 (en) | 2019-02-11 | 2023-01-31 | Tesla, Inc. | Autonomous and user controlled vehicle summon to a target |
US10956755B2 (en) | 2019-02-19 | 2021-03-23 | Tesla, Inc. | Estimating object properties using visual image data |
US11468361B2 (en) * | 2019-05-24 | 2022-10-11 | Bank Of America Corporation | Real-time convergence analysis of machine learning population output in rapid changing and adversarial environments |
US11475002B1 (en) * | 2019-06-19 | 2022-10-18 | Amazon Technologies, Inc. | Machine learning system for dynamic generation of computer-implemented policies |
US11593705B1 (en) * | 2019-06-28 | 2023-02-28 | Amazon Technologies, Inc. | Feature engineering pipeline generation for machine learning using decoupled dataset analysis and interpretation |
US11983609B2 (en) * | 2019-07-10 | 2024-05-14 | Sony Interactive Entertainment LLC | Dual machine learning pipelines for transforming data and optimizing data transformation |
US11573964B2 (en) * | 2019-07-17 | 2023-02-07 | At&T Intellectual Property I, L.P. | Reducing database system query transaction delay |
US11232356B2 (en) * | 2019-08-09 | 2022-01-25 | Google Llc | Training giant neural networks using pipeline parallelism |
US10999390B2 (en) * | 2019-08-15 | 2021-05-04 | Bank Of America Corporation | Method and system for mobile data communication |
US11710085B2 (en) * | 2019-11-26 | 2023-07-25 | Saudi Arabian Oil Company | Artificial intelligence system and method for site safety and tracking |
US20210209488A1 (en) * | 2019-12-20 | 2021-07-08 | Boe Technology Group Co., Ltd. | Inference computing apparatus, model training apparatus, inference computing system |
US11509626B2 (en) * | 2020-01-29 | 2022-11-22 | Jpmorgan Chase Bank, N.A. | System and method for network IP address capacity analytics and management |
US20210334693A1 (en) * | 2020-04-22 | 2021-10-28 | Intuit Inc. | Automated generation of explainable machine learning |
US11580425B2 (en) * | 2020-06-30 | 2023-02-14 | Microsoft Technology Licensing, Llc | Managing defects in a model training pipeline using synthetic data sets associated with defect types |
CN112116104B (en) * | 2020-09-17 | 2024-06-18 | 京东科技控股股份有限公司 | Method, device, medium and electronic equipment for automatically integrating machine learning |
KR20220049165A (en) * | 2020-10-14 | 2022-04-21 | 삼성에스디에스 주식회사 | System and method for enhancing inference models based on prediction data |
CN112101579B (en) * | 2020-11-18 | 2021-02-09 | 杭州趣链科技有限公司 | Federal learning-based machine learning method, electronic device, and storage medium |
CN113034158A (en) * | 2021-03-19 | 2021-06-25 | 北京嘀嘀无限科技发展有限公司 | Machine responsibility judgment method and device, electronic equipment and readable storage medium |
US20240195701A1 (en) * | 2021-05-11 | 2024-06-13 | Nokia Technologies Oy | Framework for trustworthiness |
US20230097533A1 (en) * | 2021-09-24 | 2023-03-30 | Rockwell Automation Technologies, Inc. | Model lifecycle management for closed-loop processes within industrial automation environments |
WO2023110163A1 (en) * | 2021-12-13 | 2023-06-22 | Telefonaktiebolaget Lm Ericsson (Publ) | First node, second node, third node, fourth node and methods performed thereby for handling data |
US20230289169A1 (en) * | 2022-03-14 | 2023-09-14 | Dell Products L.P. | Cross-organization continuous update of edge-side event detection models in warehouse environments via federated learning |
KR102637818B1 (en) * | 2022-11-24 | 2024-02-19 | 엔에이치투자증권 주식회사 | Server for predicting of borrowed-name account and method thereof |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7565369B2 (en) * | 2004-05-28 | 2009-07-21 | International Business Machines Corporation | System and method for mining time-changing data streams |
CN108288094B (en) * | 2018-01-31 | 2021-06-29 | 清华大学 | Deep reinforcement learning method and device based on environmental state prediction |
-
2018
- 2018-12-14 US US16/221,039 patent/US20200193313A1/en not_active Abandoned
-
2019
- 2019-12-13 AU AU2019395267A patent/AU2019395267A1/en not_active Abandoned
- 2019-12-13 SG SG11202106315QA patent/SG11202106315QA/en unknown
- 2019-12-13 JP JP2021533629A patent/JP2022514508A/en active Pending
- 2019-12-13 EP EP19850835.0A patent/EP3895077A1/en not_active Withdrawn
- 2019-12-13 WO PCT/US2019/066296 patent/WO2020123985A1/en unknown
- 2019-12-13 KR KR1020217021984A patent/KR20210141917A/en unknown
-
2022
- 2022-11-03 US US17/980,001 patent/US20230162063A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
US20200193313A1 (en) | 2020-06-18 |
JP2022514508A (en) | 2022-02-14 |
EP3895077A1 (en) | 2021-10-20 |
AU2019395267A1 (en) | 2021-07-15 |
US20230162063A1 (en) | 2023-05-25 |
KR20210141917A (en) | 2021-11-23 |
WO2020123985A1 (en) | 2020-06-18 |
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