FR3122935B1 - METHOD FOR ESTIMATING A METRIC QUANTITY RELATING TO A DIFFERENCE BETWEEN DATA FROM TWO SERIES OF DATA - Google Patents

METHOD FOR ESTIMATING A METRIC QUANTITY RELATING TO A DIFFERENCE BETWEEN DATA FROM TWO SERIES OF DATA Download PDF

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Publication number
FR3122935B1
FR3122935B1 FR2105004A FR2105004A FR3122935B1 FR 3122935 B1 FR3122935 B1 FR 3122935B1 FR 2105004 A FR2105004 A FR 2105004A FR 2105004 A FR2105004 A FR 2105004A FR 3122935 B1 FR3122935 B1 FR 3122935B1
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Prior art keywords
data
series
estimating
term
metric quantity
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FR2105004A
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French (fr)
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FR3122935A1 (en
Inventor
Hubert Wassner
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Tasty AB
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Tasty AB
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Priority to FR2105004A priority Critical patent/FR3122935B1/en
Priority to PCT/EP2022/058493 priority patent/WO2022238045A1/en
Publication of FR3122935A1 publication Critical patent/FR3122935A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/02—Comparing digital values
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
    • G06F7/544—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices for evaluating functions by calculation

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Computing Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Error Detection And Correction (AREA)
  • Detection And Correction Of Errors (AREA)
  • Complex Calculations (AREA)

Abstract

L’invention concerne un procédé (100) d’estimation d’une grandeur métrique, mis en œuvre par ordinateur, à partir d’une première et deuxième série de données, ledit procédé (100) comprenant : au moins une itération d’une phase d’estimation (102) de la grandeur métrique suivant les étapes :tirage (104) de n données avec remise de la première série de données pour obtenir une première série expérimentale, et tirage (104) de m données avec remise de la deuxième série de données pour obtenir une deuxième série expérimentale,alignement (106) de la première série expérimentale par rapport à la deuxième série expérimentale, ou inversement,comparaison (108) terme à terme entre la première série expérimentale et la deuxième série expérimentale afin de déterminer un gain terme à terme,pondération (110) de chaque gain par un facteur de pondération,calcul (112) de la grandeur métrique à partir des gains pondérés. Figure pour l’abrégé : La FIGURE 1The invention relates to a method (100) for estimating a metric quantity, implemented by computer, from a first and second series of data, said method (100) comprising: at least one iteration of a estimation phase (102) of the metric quantity following the steps: drawing (104) of n data with replacement of the first series of data to obtain a first experimental series, and drawing (104) of m data with replacement of the second series of data to obtain a second experimental series, alignment (106) of the first experimental series with respect to the second experimental series, or vice versa, comparison (108) term by term between the first experimental series and the second experimental series in order to determine a term-to-term gain, weighting (110) of each gain by a weighting factor, calculation (112) of the metric quantity from the weighted gains. Figure for abstract: FIGURE 1

FR2105004A 2021-05-11 2021-05-11 METHOD FOR ESTIMATING A METRIC QUANTITY RELATING TO A DIFFERENCE BETWEEN DATA FROM TWO SERIES OF DATA Active FR3122935B1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
FR2105004A FR3122935B1 (en) 2021-05-11 2021-05-11 METHOD FOR ESTIMATING A METRIC QUANTITY RELATING TO A DIFFERENCE BETWEEN DATA FROM TWO SERIES OF DATA
PCT/EP2022/058493 WO2022238045A1 (en) 2021-05-11 2022-03-30 Method for estimating a metric quantity relating to a difference between data originating from two data series

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2105004 2021-05-11
FR2105004A FR3122935B1 (en) 2021-05-11 2021-05-11 METHOD FOR ESTIMATING A METRIC QUANTITY RELATING TO A DIFFERENCE BETWEEN DATA FROM TWO SERIES OF DATA

Publications (2)

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FR3122935A1 FR3122935A1 (en) 2022-11-18
FR3122935B1 true FR3122935B1 (en) 2024-04-26

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FR2105004A Active FR3122935B1 (en) 2021-05-11 2021-05-11 METHOD FOR ESTIMATING A METRIC QUANTITY RELATING TO A DIFFERENCE BETWEEN DATA FROM TWO SERIES OF DATA

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FR (1) FR3122935B1 (en)
WO (1) WO2022238045A1 (en)

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10902149B2 (en) * 2018-02-01 2021-01-26 Microsoft Technology Licensing, Llc Remote testing analysis for software optimization based on client-side local differential privacy-based data
US10579423B2 (en) * 2018-04-02 2020-03-03 Microsoft Technology Licensing, Llc Resource scheduling using machine learning

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WO2022238045A1 (en) 2022-11-17
FR3122935A1 (en) 2022-11-18

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