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Extract from the Register of European Patents

EP About this file: EP3968243

EP3968243 - METHOD AND APPARATUS FOR REALIZING MODEL TRAINING, AND COMPUTER STORAGE MEDIUM [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  11.02.2022
Database last updated on 31.08.2024
FormerThe international publication has been made
Status updated on  15.01.2021
Most recent event   Tooltip21.07.2023New entry: Renewal fee paid 
Applicant(s)For all designated states
Huawei Technologies Co., Ltd.
Huawei Administration Building
Bantian
Longgang District
Shenzhen
Guangdong 518129 / CN
[2022/11]
Inventor(s)01 / SUN, Xudong
Huawei Administration Building Bantian, Longgang
District
Shenzhen, Guangdong 518129 / CN
02 / ZHANG, Yanfang
Huawei Administration Building Bantian, Longgang
District
Shenzhen, Guangdong 518129 / CN
03 / ZHANG, Liang
Huawei Administration Building Bantian, Longgang
District
Shenzhen, Guangdong 518129 / CN
04 / LIU, Shucheng
Huawei Administration Building Bantian, Longgang
District
Shenzhen, Guangdong 518129 / CN
05 / WANG, Yali
Huawei Administration Building Bantian, Longgang
District
Shenzhen, Guangdong 518129 / CN
 [2022/11]
Representative(s)Epping - Hermann - Fischer
Patentanwaltsgesellschaft mbH
Schloßschmidstraße 5
80639 München / DE
[2022/11]
Application number, filing date20834260.005.07.2020
[2022/11]
WO2020CN100308
Priority number, dateCN20191060052104.07.2019         Original published format: CN201910600521
[2022/11]
Filing languageZH
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021000958
Date:07.01.2021
Language:ZH
[2021/01]
Type: A1 Application with search report 
No.:EP3968243
Date:16.03.2022
Language:EN
[2022/11]
Search report(s)International search report - published on:CN07.01.2021
(Supplementary) European search report - dispatched on:EP31.05.2022
ClassificationIPC:G06N20/00, G06K9/62
[2022/26]
CPC:
G06N20/00 (EP,CN,US); G06F18/2113 (EP); G06F18/2193 (US)
Former IPC [2022/11]G06N20/00
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2022/11]
TitleGerman:VERFAHREN UND VORRICHTUNG ZUR REALISIERUNG VON MODELLTRAINING UND COMPUTERSPEICHERMEDIUM[2022/11]
English:METHOD AND APPARATUS FOR REALIZING MODEL TRAINING, AND COMPUTER STORAGE MEDIUM[2022/11]
French:PROCÉDÉ ET APPAREIL POUR EFFECTUER L'APPRENTISSAGE D'UN MODÈLE ET SUPPORT DE STOCKAGE INFORMATIQUE[2022/11]
Entry into regional phase07.12.2021Translation filed 
07.12.2021National basic fee paid 
07.12.2021Search fee paid 
07.12.2021Designation fee(s) paid 
07.12.2021Examination fee paid 
Examination procedure07.12.2021Examination requested  [2022/11]
28.12.2022Amendment by applicant (claims and/or description)
Fees paidRenewal fee
21.07.2022Renewal fee patent year 03
20.07.2023Renewal fee patent year 04
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Documents cited:Search[I]  - HAMMOODI MAHMOOD SHAKIR ET AL, "Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining", KNOWLEDGE-BASED SYSTEMS, AMSTERDAM, NL, (20180809), vol. 161, doi:10.1016/j.knosys.2018.08.007, ISSN 0950-7051, pages 205 - 239, XP055921969 [I] 1-15 * abstract; Sections 1 and 5-7;; figures 23,24 *

DOI:   http://dx.doi.org/10.1016/j.knosys.2018.08.007
 [A]  - LEV FAIVISHEVSKY ET AL, "Unsupervised feature selection based on non-parametric mutual information", MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 2012 IEEE INTERNATIONAL WORKSHOP ON, IEEE, (20120923), doi:10.1109/MLSP.2012.6349791, ISBN 978-1-4673-1024-6, pages 1 - 6, XP032470887 [A] 1-15 * abstract; Sections 1-3;; figure 1 *

DOI:   http://dx.doi.org/10.1109/MLSP.2012.6349791
 [A]  - XU JUNLING ED - LEE SEONG-WHAN ET AL, Adapt the mRMR Criterion for Unsupervised Feature Selection, ADVANCES IN BIOMETRICS : INTERNATIONAL CONFERENCE, ICB 2007, SEOUL, KOREA, AUGUST 27 - 29, 2007 ; PROCEEDINGS; [LECTURE NOTES IN COMPUTER SCIENCE; LECT.NOTES COMPUTER], SPRINGER, BERLIN, HEIDELBERG, PAGE(S) 111 - 121, (20101119), ISBN 978-3-540-74549-5, XP047444228 [A] 1-15 * absract; Sections 1-3 *

DOI:   http://dx.doi.org/10.1007/978-3-642-17313-4_11
 [A]  - HAI-LONG NGUYEN ET AL, Heterogeneous Ensemble for Feature Drifts in Data Streams, ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, SPRINGER BERLIN HEIDELBERG, BERLIN, HEIDELBERG, PAGE(S) 1 - 12, (20120529), ISBN 978-3-642-30219-0, XP019176561 [A] 1-15 * abstract; Sections 1 and 3-4;; figure 1 *
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.