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Extract from the Register of European Patents

EP About this file: EP4145361

EP4145361 - AUGMENTATION OF MACHINE LEARNING PIPELINE CORPUS FOR SYNTHESIZING NEW MACHINE LEARNING PIPELINES [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  08.09.2023
Database last updated on 14.06.2024
FormerThe application has been published
Status updated on  03.02.2023
Most recent event   Tooltip02.04.2024New entry: Renewal fee paid 
Applicant(s)For all designated states
FUJITSU LIMITED
1-1, Kamikodanaka 4-chome, Nakahara-ku
Kawasaki-shi, Kanagawa 211-8588 / JP
[2023/10]
Inventor(s)01 / Saha, Ripon K.
Pleasanton, CA 94588 / US
02 / Prasad, Mukul
San Jose, CA / US
03 / Li, Linyi
Urbana, IL / US
 [2023/10]
Representative(s)Hoffmann Eitle
Patent- und Rechtsanwälte PartmbB
Arabellastraße 30
81925 München / DE
[2023/10]
Application number, filing date22188261.602.08.2022
[2023/10]
Priority number, dateUS202163260908P03.09.2021         Original published format: US 202163260908 P
US20221765762131.03.2022         Original published format: US202217657621
[2023/10]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP4145361
Date:08.03.2023
Language:EN
[2023/10]
Search report(s)(Supplementary) European search report - dispatched on:EP05.12.2022
ClassificationIPC:G06N20/00, G06N5/00, // G06N3/10, G06F8/00
[2023/10]
CPC:
G06N20/00 (EP); G06N20/20 (US); G06F11/3495 (US);
G06F8/35 (EP); G06F8/36 (EP); G06F8/427 (US);
G06F8/74 (EP); G06F8/75 (EP); G06F9/547 (US);
G06N5/01 (EP); G06N3/105 (EP) (-)
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 [2023/41]
Former [2023/10]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 
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:VERGRÖSSERUNG DES KORPUS VON MASCHINENLERNPIPELINES ZUR SYNTHESE VON NEUEN MASCHINENLERNPIPELINES[2023/10]
English:AUGMENTATION OF MACHINE LEARNING PIPELINE CORPUS FOR SYNTHESIZING NEW MACHINE LEARNING PIPELINES[2023/10]
French:AUGMENTATION DU CORPUS DE PIPELINES D'APPRENTISSAGE MACHINE POUR LA SYNTHÈSE DE NOUVEAUX PIPELINES D'APPRENTISSAGE MACHINE[2023/10]
Examination procedure06.09.2023Examination requested  [2023/41]
06.09.2023Date on which the examining division has become responsible
07.09.2023Amendment by applicant (claims and/or description)
Fees paidRenewal fee
31.03.2024Renewal fee patent year 03
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Documents cited:Search[I]  - D. LAADAN ET AL, "RankML: a meta learning-based approach for pre-ranking machine learning pipelines", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20191120), XP081535829 [I] 1-20 * The Proposed Method * * Evaluation * * Results and Discussions *
 [I]  - M. Mukesh et al, "Eve: a virtual data scientist (D3M/Eve)", Technical Report of the Air Force Research Laboratory, no. AFRL-RI-RS-TR-2019-077, (201904), URL: https://apps.dtic.mil/sti/pdfs/AD1069846.pdf, (20221121), XP093001027 [I] 1-20 * sections 2 and 3 *
 [A]  - Z. SHANG ET AL, "Democratizing data science through interactive curation of ML pipelines", DESIGNING INTERACTIVE SYSTEMS CONFERENCE, (20190625), doi:10.1145/3299869.3319863, pages 1171 - 1188, XP058637339 [A] 1-20 * the whole document *

DOI:   http://dx.doi.org/10.1145/3299869.3319863
 [A]  - J. P. CAMBRONERO ET AL, "AL: autogenerating supervised learning programs", PROCEEDINGS OF THE ACM ON PROGRAMMING LANGUAGES, (20191010), vol. 3, no. OOPSLA, doi:10.1145/3360601, XP058451066 [A] 1-20 * the whole document *

DOI:   http://dx.doi.org/10.1145/3360601
 [A]  - J. P. CAMBRONERO ET AL, "AMS: generating autoML search spaces from weak specifications", FOURTEENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS, (20201108), doi:10.1145/3368089.3409700, pages 763 - 774, XP058622499 [A] 1-20 * the whole document *

DOI:   http://dx.doi.org/10.1145/3368089.3409700
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