WO2015006517A3 - Extensions to the generalized reduced error logistic regression method - Google Patents

Extensions to the generalized reduced error logistic regression method Download PDF

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Publication number
WO2015006517A3
WO2015006517A3 PCT/US2014/046060 US2014046060W WO2015006517A3 WO 2015006517 A3 WO2015006517 A3 WO 2015006517A3 US 2014046060 W US2014046060 W US 2014046060W WO 2015006517 A3 WO2015006517 A3 WO 2015006517A3
Authority
WO
WIPO (PCT)
Prior art keywords
extensions
logistic regression
reduced error
relr
machine learning
Prior art date
Application number
PCT/US2014/046060
Other languages
French (fr)
Other versions
WO2015006517A2 (en
Inventor
Daniel M. RICE
Original Assignee
Rice Daniel M
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Rice Daniel M filed Critical Rice Daniel M
Priority to AU2014287234A priority Critical patent/AU2014287234A1/en
Publication of WO2015006517A2 publication Critical patent/WO2015006517A2/en
Publication of WO2015006517A3 publication Critical patent/WO2015006517A3/en
Priority to US14/990,494 priority patent/US20160117600A1/en
Priority to GBGB1601792.3A priority patent/GB201601792D0/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Devices For Executing Special Programs (AREA)
  • Preliminary Treatment Of Fibers (AREA)

Abstract

Extensions to the Reduced Error Logistic Regression (RELR) machine learning method are detailed. These extensions include mechanisms that handle basic operations more accurately within the previously patented RELR method, along with sequential and causal machine learning mechanisms. The method overcomes significant limitations in prior art logistic regression and machine learning methods, including the previously patented RELR method.
PCT/US2014/046060 2013-07-10 2014-07-10 Extensions to the generalized reduced error logistic regression method WO2015006517A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
AU2014287234A AU2014287234A1 (en) 2013-07-10 2014-07-10 Consistent ordinal reduced error logistic regression machine
US14/990,494 US20160117600A1 (en) 2014-07-10 2016-01-07 Consistent Ordinal Reduced Error Logistic Regression Machine
GBGB1601792.3A GB201601792D0 (en) 2013-07-10 2016-02-01 Extensions to the generalized reduced error logistic regression method

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201361844730P 2013-07-10 2013-07-10
US61/844,730 2013-07-10
US201361890528P 2013-10-14 2013-10-14
US61/890,528 2013-10-14

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US14/990,494 Division US20160117600A1 (en) 2014-07-10 2016-01-07 Consistent Ordinal Reduced Error Logistic Regression Machine

Publications (2)

Publication Number Publication Date
WO2015006517A2 WO2015006517A2 (en) 2015-01-15
WO2015006517A3 true WO2015006517A3 (en) 2015-03-12

Family

ID=52280720

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2014/046060 WO2015006517A2 (en) 2013-07-10 2014-07-10 Extensions to the generalized reduced error logistic regression method

Country Status (3)

Country Link
AU (1) AU2014287234A1 (en)
GB (1) GB201601792D0 (en)
WO (1) WO2015006517A2 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10229368B2 (en) 2015-10-19 2019-03-12 International Business Machines Corporation Machine learning of predictive models using partial regression trends
US10937054B2 (en) 2018-06-15 2021-03-02 The Nielsen Company (Us), Llc Methods, systems, apparatus and articles of manufacture to determine causal effects
WO2021035412A1 (en) * 2019-08-23 2021-03-04 华为技术有限公司 Automatic machine learning (automl) system, method and device
US11568281B2 (en) 2019-11-13 2023-01-31 International Business Machines Corporation Causal reasoning for explanation of model predictions
CN112465001A (en) * 2020-11-23 2021-03-09 上海电气集团股份有限公司 Classification method and device based on logistic regression
CN116912948B (en) * 2023-09-12 2023-12-01 南京硅基智能科技有限公司 Training method, system and driving system for digital person

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090089228A1 (en) * 2007-09-27 2009-04-02 Rice Daniel M Generalized reduced error logistic regression method
US20090132445A1 (en) * 2007-09-27 2009-05-21 Rice Daniel M Generalized reduced error logistic regression method
US20100332430A1 (en) * 2009-06-30 2010-12-30 Dow Agrosciences Llc Application of machine learning methods for mining association rules in plant and animal data sets containing molecular genetic markers, followed by classification or prediction utilizing features created from these association rules
US8291069B1 (en) * 2008-12-23 2012-10-16 At&T Intellectual Property I, L.P. Systems, devices, and/or methods for managing sample selection bias

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090089228A1 (en) * 2007-09-27 2009-04-02 Rice Daniel M Generalized reduced error logistic regression method
US20090132445A1 (en) * 2007-09-27 2009-05-21 Rice Daniel M Generalized reduced error logistic regression method
US8291069B1 (en) * 2008-12-23 2012-10-16 At&T Intellectual Property I, L.P. Systems, devices, and/or methods for managing sample selection bias
US20100332430A1 (en) * 2009-06-30 2010-12-30 Dow Agrosciences Llc Application of machine learning methods for mining association rules in plant and animal data sets containing molecular genetic markers, followed by classification or prediction utilizing features created from these association rules

Also Published As

Publication number Publication date
AU2014287234A1 (en) 2016-02-25
WO2015006517A2 (en) 2015-01-15
GB201601792D0 (en) 2016-03-16

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