JPWO2021079442A1 - - Google Patents
Info
- Publication number
- JPWO2021079442A1 JPWO2021079442A1 JP2021553212A JP2021553212A JPWO2021079442A1 JP WO2021079442 A1 JPWO2021079442 A1 JP WO2021079442A1 JP 2021553212 A JP2021553212 A JP 2021553212A JP 2021553212 A JP2021553212 A JP 2021553212A JP WO2021079442 A1 JPWO2021079442 A1 JP WO2021079442A1
- Authority
- JP
- Japan
- 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
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
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- 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
- G06F18/2155—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the incorporation of unlabelled data, e.g. multiple instance learning [MIL], semi-supervised techniques using expectation-maximisation [EM] or naïve labelling
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- 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
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2323—Non-hierarchical techniques based on graph theory, e.g. minimum spanning trees [MST] or graph cuts
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2431—Multiple classes
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Discrete Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP2019/041581 WO2021079442A1 (ja) | 2019-10-23 | 2019-10-23 | 推定プログラム、推定方法、情報処理装置、再学習プログラムおよび再学習方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
JPWO2021079442A1 true JPWO2021079442A1 (ja) | 2021-04-29 |
JP7276488B2 JP7276488B2 (ja) | 2023-05-18 |
Family
ID=75619695
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2021553212A Active JP7276488B2 (ja) | 2019-10-23 | 2019-10-23 | 推定プログラム、推定方法、情報処理装置、再学習プログラムおよび再学習方法 |
Country Status (4)
Country | Link |
---|---|
US (1) | US20220237407A1 (ja) |
EP (1) | EP4050527A4 (ja) |
JP (1) | JP7276488B2 (ja) |
WO (1) | WO2021079442A1 (ja) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP7419035B2 (ja) * | 2019-11-22 | 2024-01-22 | キヤノン株式会社 | 学習モデル管理システム、学習モデル管理方法、およびプログラム |
CN111178435B (zh) * | 2019-12-30 | 2022-03-22 | 山东英信计算机技术有限公司 | 一种分类模型训练方法、系统、电子设备及存储介质 |
WO2023053216A1 (ja) | 2021-09-28 | 2023-04-06 | 富士通株式会社 | 機械学習プログラム、機械学習方法および機械学習装置 |
US11594015B1 (en) * | 2022-07-26 | 2023-02-28 | Finite Carbon Corporation | Detecting changes in forest composition |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101768438B1 (ko) * | 2013-10-30 | 2017-08-16 | 삼성에스디에스 주식회사 | 데이터 분류 장치 및 방법과 이를 이용한 데이터 수집 시스템 |
-
2019
- 2019-10-23 EP EP19949698.5A patent/EP4050527A4/en active Pending
- 2019-10-23 WO PCT/JP2019/041581 patent/WO2021079442A1/ja unknown
- 2019-10-23 JP JP2021553212A patent/JP7276488B2/ja active Active
-
2022
- 2022-04-19 US US17/723,599 patent/US20220237407A1/en active Pending
Non-Patent Citations (2)
Title |
---|
KIM, YOUNGIN ほか: "An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling", [オンライン], JPN6019050507, October 2017 (2017-10-01), ISSN: 0005029620 * |
坂本悠輔 ほか: "適応型モニタリングシステムにおけるコンセプトドリフト検出に向けた初期実験", 第102回 知識ベースシステム研究会資料 (SIG−KBS−B401), JPN6019050506, 24 July 2014 (2014-07-24), pages 26 - 33, ISSN: 0005029619 * |
Also Published As
Publication number | Publication date |
---|---|
JP7276488B2 (ja) | 2023-05-18 |
EP4050527A1 (en) | 2022-08-31 |
EP4050527A4 (en) | 2022-11-23 |
US20220237407A1 (en) | 2022-07-28 |
WO2021079442A1 (ja) | 2021-04-29 |
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