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1. WO2022005911 - A MACHINE LEARNING FRAMEWORK AND METHOD FOR USING THE SAME

Publication Number WO/2022/005911
Publication Date 06.01.2022
International Application No. PCT/US2021/039232
International Filing Date 25.06.2021
IPC
G06Q 20/02 2012.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
20Payment architectures, schemes or protocols
02involving a neutral third party, e.g. certification authority, notary or trusted third party
G06Q 20/08 2012.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
20Payment architectures, schemes or protocols
08Payment architectures
G06Q 10/06 2012.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
G06Q 10/04 2012.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
G06Q 10/10 2012.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
G06N 20/00 2019.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
Applicants
  • STRIPE, INC. [US]/[US]
Inventors
  • TIANSHI, Zhu
  • OSHEIM, Erik
  • SWITZER, Tom
  • ABRAHAMAS, David
  • TU, Susan
  • BOYKIN, Oscar
Agents
  • MALLIE, Michael J.
Priority Data
16/917,62430.06.2020US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) A MACHINE LEARNING FRAMEWORK AND METHOD FOR USING THE SAME
(FR) INFRASTRUCTURE D'APPRENTISSAGE AUTOMATIQUE ET PROCÉDÉ POUR SON UTILISATION
Abstract
(EN) A machine learning framework and method for using the same are described. In one embodiment, the method for processing data with a machine learning framework comprises creating a plurality of features as independent features, each feature of the plurality features being based on one or more events that model a plurality of records related to payment processing information, creating a final feature that groups the plurality of features together, such that each feature of the plurality of features represents a sub-feature of the final feature, compiling the plurality of features and the final feature, computing, using a computing platform, each of the plurality of features as a separate job, including sending network related communications to access the payment processing information from one or more remote storage locations, and computing, using a computing platform, the final feature separately from computing the plurality of features, including grouping results of running each of the plurality of features together.
(FR) Sont décrits une infrastructure d'apprentissage automatique et un procédé pour son utilisation. Dans un mode de réalisation, le procédé de traitement de données au moyen d'une infrastructure d'apprentissage automatique comprend les étapes consistant : à créer une pluralité de caractéristiques en tant que caractéristiques indépendantes, chaque caractéristique de la pluralité de caractéristiques reposant sur un ou plusieurs événements qui modélisent une pluralité de dossiers associés à des informations de traitement de paiement ; à créer une caractéristique finale qui regroupe la pluralité de caractéristiques ensemble, de sorte que chaque caractéristique de la pluralité de caractéristiques représente une sous-caractéristique de la caractéristique finale ; à compiler la pluralité de caractéristiques et la caractéristique finale ; à calculer, à l'aide d'une plate-forme de calcul, chaque caractéristique de la pluralité de caractéristiques sous la forme d'une tâche distincte, y compris l'envoi de communications associées au réseau pour accéder aux informations de traitement de paiement à partir d'un ou de plusieurs emplacements de stockage à distance, et à calculer, à l'aide d'une plateforme de calcul, la caractéristique finale séparément du calcul de la pluralité de caractéristiques, y compris le regroupement des résultats de l'exécution de chaque caractéristique de la pluralité de caractéristiques.
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