EP3968243 - METHOD AND APPARATUS FOR REALIZING MODEL TRAINING, AND COMPUTER STORAGE MEDIUM [Right-click to bookmark this link] | Status | Request for examination was made Status updated on 11.02.2022 Database last updated on 31.08.2024 | |
Former | The international publication has been made Status updated on 15.01.2021 | Most recent event Tooltip | 21.07.2023 | New 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 date | 20834260.0 | 05.07.2020 | [2022/11] | WO2020CN100308 | Priority number, date | CN201910600521 | 04.07.2019 Original published format: CN201910600521 | [2022/11] | Filing language | ZH | Procedural language | EN | Publication | Type: | 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: | CN | 07.01.2021 | (Supplementary) European search report - dispatched on: | EP | 31.05.2022 | Classification | IPC: | G06N20/00, G06K9/62 | [2022/26] | CPC: |
G06N20/00 (EP,CN,US);
G06F18/2113 (EP);
G06F18/2193 (US)
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Former IPC [2022/11] | G06N20/00 | Designated contracting states | AL, 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] | Title | German: | 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 phase | 07.12.2021 | Translation filed | 07.12.2021 | National basic fee paid | 07.12.2021 | Search fee paid | 07.12.2021 | Designation fee(s) paid | 07.12.2021 | Examination fee paid | Examination procedure | 07.12.2021 | Examination requested [2022/11] | 28.12.2022 | Amendment by applicant (claims and/or description) | Fees paid | Renewal fee | 21.07.2022 | Renewal fee patent year 03 | 20.07.2023 | Renewal fee patent year 04 |
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | 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 * |