JP7806027B2 - ハイブリッド機械学習 - Google Patents
ハイブリッド機械学習Info
- Publication number
- JP7806027B2 JP7806027B2 JP2023513274A JP2023513274A JP7806027B2 JP 7806027 B2 JP7806027 B2 JP 7806027B2 JP 2023513274 A JP2023513274 A JP 2023513274A JP 2023513274 A JP2023513274 A JP 2023513274A JP 7806027 B2 JP7806027 B2 JP 7806027B2
- Authority
- JP
- Japan
- Prior art keywords
- decisions
- machine learning
- learning model
- trained machine
- data
- 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.)
- Active
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F16/9032—Query formulation
- G06F16/90324—Query formulation using system suggestions
- G06F16/90328—Query formulation using system suggestions using search space presentation or visualization, e.g. category or range presentation and selection
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F18/211—Selection of the most significant subset of features
- G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
- G06F18/2178—Validation; Performance evaluation; Active pattern learning techniques based on feedback of a supervisor
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/096—Transfer learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/0985—Hyperparameter optimisation; Meta-learning; Learning-to-learn
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
- G06F16/9035—Filtering based on additional data, e.g. user or group profiles
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Physics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Computational Linguistics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Databases & Information Systems (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Stored Programmes (AREA)
- Image Analysis (AREA)
- Control Of Eletrric Generators (AREA)
- Steroid Compounds (AREA)
- Organic Low-Molecular-Weight Compounds And Preparation Thereof (AREA)
- User Interface Of Digital Computer (AREA)
- Elevator Control (AREA)
- Feedback Control In General (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US17/002,717 US12190251B2 (en) | 2020-08-25 | 2020-08-25 | Hybrid machine learning |
| US17/002,717 | 2020-08-25 | ||
| PCT/US2021/047334 WO2022046759A1 (en) | 2020-08-25 | 2021-08-24 | Hybrid machine learning |
Publications (4)
| Publication Number | Publication Date |
|---|---|
| JP2023539240A JP2023539240A (ja) | 2023-09-13 |
| JP2023539240A5 JP2023539240A5 (https=) | 2024-08-01 |
| JPWO2022046759A5 JPWO2022046759A5 (https=) | 2024-08-01 |
| JP7806027B2 true JP7806027B2 (ja) | 2026-01-26 |
Family
ID=80355680
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2023513274A Active JP7806027B2 (ja) | 2020-08-25 | 2021-08-24 | ハイブリッド機械学習 |
Country Status (8)
| Country | Link |
|---|---|
| US (2) | US12190251B2 (https=) |
| EP (1) | EP4205043A4 (https=) |
| JP (1) | JP7806027B2 (https=) |
| KR (1) | KR20230054701A (https=) |
| CN (1) | CN115989509A (https=) |
| AU (1) | AU2021332209B2 (https=) |
| CA (1) | CA3189593A1 (https=) |
| WO (1) | WO2022046759A1 (https=) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210360017A1 (en) * | 2020-05-14 | 2021-11-18 | Cynomi Ltd | System and method of dynamic cyber risk assessment |
| EP3982302A1 (en) * | 2020-10-12 | 2022-04-13 | Robert Bosch GmbH | Device for and method of automating machine learning |
| US20220300755A1 (en) * | 2021-03-16 | 2022-09-22 | Visa International Service Association | Method, System, and Computer Program Product for Predicting Future States Based on Time Series Data Using Feature Engineering and/or Hybrid Machine Learning Models |
| US12499370B2 (en) * | 2021-06-09 | 2025-12-16 | Tata Consultancy Services Limited | Systems and methods for determining explainability of machine predicted decisions |
| US20230289650A1 (en) * | 2022-03-09 | 2023-09-14 | International Business Machines Corporation | Continuous machine learning system for containerized environment with limited resources |
| WO2024026393A1 (en) * | 2022-07-27 | 2024-02-01 | Indr, Inc. | Methods and apparatus for ensemble machine learning models and natural language processing for predicting persona based on input patterns |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180268258A1 (en) | 2017-03-14 | 2018-09-20 | TUPL, Inc. | Automated decision making using staged machine learning |
| JP2019003408A (ja) | 2017-06-15 | 2019-01-10 | 株式会社日立製作所 | ハイパーパラメータの評価方法、計算機及びプログラム |
| WO2020121115A1 (ja) | 2018-12-13 | 2020-06-18 | 株式会社半導体エネルギー研究所 | コンテンツの分類方法および分類モデルの生成方法 |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU4019901A (en) | 1999-09-21 | 2001-04-24 | Andrew E. Borthwick | A probabilistic record linkage model derived from training data |
| US9454767B2 (en) | 2013-03-13 | 2016-09-27 | Salesforce.Com, Inc. | Systems, methods, and apparatuses for implementing a related command with a predictive query interface |
| US10452992B2 (en) | 2014-06-30 | 2019-10-22 | Amazon Technologies, Inc. | Interactive interfaces for machine learning model evaluations |
| WO2016130858A1 (en) * | 2015-02-11 | 2016-08-18 | Skytree, Inc. | User interface for unified data science platform including management of models, experiments, data sets, projects, actions, reports and features |
| US20170308800A1 (en) | 2016-04-26 | 2017-10-26 | Smokescreen Intelligence, LLC | Interchangeable Artificial Intelligence Perception Systems and Methods |
| CN108830383B (zh) * | 2018-05-30 | 2021-06-08 | 第四范式(北京)技术有限公司 | 用于展示机器学习建模过程的方法及系统 |
| US11275485B2 (en) | 2018-06-15 | 2022-03-15 | Sap Se | Data processing pipeline engine |
| US10747506B2 (en) * | 2018-06-15 | 2020-08-18 | Sap Se | Customizing operator nodes for graphical representations of data processing pipelines |
| CN108898229B (zh) * | 2018-06-26 | 2021-12-14 | 第四范式(北京)技术有限公司 | 用于构建机器学习建模过程的方法及系统 |
| US11727314B2 (en) * | 2019-09-30 | 2023-08-15 | Amazon Technologies, Inc. | Automated machine learning pipeline exploration and deployment |
-
2020
- 2020-08-25 US US17/002,717 patent/US12190251B2/en active Active
-
2021
- 2021-08-24 JP JP2023513274A patent/JP7806027B2/ja active Active
- 2021-08-24 KR KR1020237009608A patent/KR20230054701A/ko active Pending
- 2021-08-24 CA CA3189593A patent/CA3189593A1/en active Pending
- 2021-08-24 CN CN202180052139.9A patent/CN115989509A/zh active Pending
- 2021-08-24 WO PCT/US2021/047334 patent/WO2022046759A1/en not_active Ceased
- 2021-08-24 AU AU2021332209A patent/AU2021332209B2/en active Active
- 2021-08-24 EP EP21862565.5A patent/EP4205043A4/en active Pending
-
2024
- 2024-11-29 US US18/964,203 patent/US20250094841A1/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180268258A1 (en) | 2017-03-14 | 2018-09-20 | TUPL, Inc. | Automated decision making using staged machine learning |
| JP2019003408A (ja) | 2017-06-15 | 2019-01-10 | 株式会社日立製作所 | ハイパーパラメータの評価方法、計算機及びプログラム |
| WO2020121115A1 (ja) | 2018-12-13 | 2020-06-18 | 株式会社半導体エネルギー研究所 | コンテンツの分類方法および分類モデルの生成方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| KR20230054701A (ko) | 2023-04-25 |
| US20250094841A1 (en) | 2025-03-20 |
| US20220067541A1 (en) | 2022-03-03 |
| JP2023539240A (ja) | 2023-09-13 |
| AU2021332209B2 (en) | 2024-07-25 |
| AU2021332209A1 (en) | 2023-03-09 |
| EP4205043A1 (en) | 2023-07-05 |
| CN115989509A (zh) | 2023-04-18 |
| US12190251B2 (en) | 2025-01-07 |
| EP4205043A4 (en) | 2024-11-13 |
| CA3189593A1 (en) | 2022-03-03 |
| WO2022046759A1 (en) | 2022-03-03 |
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