SG11201908634PA - Identifying reason codes from gradient boosting machines - Google Patents
Identifying reason codes from gradient boosting machinesInfo
- Publication number
- SG11201908634PA SG11201908634PA SG11201908634PA SG11201908634PA SG 11201908634P A SG11201908634P A SG 11201908634PA SG 11201908634P A SG11201908634P A SG 11201908634PA SG 11201908634P A SG11201908634P A SG 11201908634PA
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- SG
- Singapore
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- classification
- international
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- reason codes
- entity
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/76—Architectures of general purpose stored program computers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24578—Query processing with adaptation to user needs using ranking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/24323—Tree-organised classifiers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
- G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Mathematical Physics (AREA)
- Medical Informatics (AREA)
- Computer Hardware Design (AREA)
- Multimedia (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Prostheses (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/482,489 US10747784B2 (en) | 2017-04-07 | 2017-04-07 | Identifying reason codes from gradient boosting machines |
PCT/US2018/024896 WO2018187122A1 (en) | 2017-04-07 | 2018-03-28 | Identifying reason codes from gradient boosting machines |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201908634PA true SG11201908634PA (en) | 2019-10-30 |
Family
ID=63711022
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201908634P SG11201908634PA (en) | 2017-04-07 | 2018-03-28 | Identifying reason codes from gradient boosting machines |
Country Status (5)
Country | Link |
---|---|
US (1) | US10747784B2 (zh) |
EP (1) | EP3607475A4 (zh) |
CN (1) | CN110462607B (zh) |
SG (1) | SG11201908634PA (zh) |
WO (1) | WO2018187122A1 (zh) |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11017324B2 (en) * | 2017-05-17 | 2021-05-25 | Microsoft Technology Licensing, Llc | Tree ensemble explainability system |
US11455493B2 (en) * | 2018-05-16 | 2022-09-27 | International Business Machines Corporation | Explanations for artificial intelligence based recommendations |
GB2579797B (en) * | 2018-12-13 | 2022-11-16 | Room4 Group Ltd | Classification of cell nuclei |
US11816541B2 (en) * | 2019-02-15 | 2023-11-14 | Zestfinance, Inc. | Systems and methods for decomposition of differentiable and non-differentiable models |
US20200334679A1 (en) * | 2019-04-19 | 2020-10-22 | Paypal, Inc. | Tuning fraud-detection rules using machine learning |
US11132687B2 (en) * | 2019-10-04 | 2021-09-28 | Visa International Service Association | Method for dynamically reconfiguring machine learning models |
US11501304B2 (en) * | 2020-03-11 | 2022-11-15 | Synchrony Bank | Systems and methods for classifying imbalanced data |
CN111538813B (zh) * | 2020-04-26 | 2023-05-16 | 北京锐安科技有限公司 | 一种分类检测方法、装置、设备及存储介质 |
US11366834B2 (en) * | 2020-07-08 | 2022-06-21 | Express Scripts Strategie Development, Inc. | Systems and methods for machine-automated classification of website interactions |
US20220101069A1 (en) * | 2020-09-30 | 2022-03-31 | Microsoft Technology Licensing, Llc | Machine learning outlier detection using weighted histogram-based outlier scoring (w-hbos) |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6269353B1 (en) | 1997-11-26 | 2001-07-31 | Ishwar K. Sethi | System for constructing decision tree classifiers using structure-driven induction |
US7930353B2 (en) * | 2005-07-29 | 2011-04-19 | Microsoft Corporation | Trees of classifiers for detecting email spam |
US9147129B2 (en) | 2011-11-18 | 2015-09-29 | Honeywell International Inc. | Score fusion and training data recycling for video classification |
US20140279815A1 (en) | 2013-03-14 | 2014-09-18 | Opera Solutions, Llc | System and Method for Generating Greedy Reason Codes for Computer Models |
US9430460B2 (en) | 2013-07-12 | 2016-08-30 | Microsoft Technology Licensing, Llc | Active featuring in computer-human interactive learning |
US20150036942A1 (en) | 2013-07-31 | 2015-02-05 | Lsi Corporation | Object recognition and tracking using a classifier comprising cascaded stages of multiple decision trees |
US10339465B2 (en) | 2014-06-30 | 2019-07-02 | Amazon Technologies, Inc. | Optimized decision tree based models |
US10230747B2 (en) * | 2014-07-15 | 2019-03-12 | Cisco Technology, Inc. | Explaining network anomalies using decision trees |
WO2016070096A1 (en) | 2014-10-30 | 2016-05-06 | Sas Institute Inc. | Generating accurate reason codes with complex non-linear modeling and neural networks |
US11093845B2 (en) | 2015-05-22 | 2021-08-17 | Fair Isaac Corporation | Tree pathway analysis for signature inference |
US9578049B2 (en) | 2015-05-07 | 2017-02-21 | Qualcomm Incorporated | Methods and systems for using causal analysis for boosted decision stumps to identify and respond to non-benign behaviors |
CN105159715B (zh) * | 2015-09-01 | 2018-07-20 | 南京大学 | 一种基于抽象语法树节点变更抽取的Python代码变更提示方法 |
-
2017
- 2017-04-07 US US15/482,489 patent/US10747784B2/en active Active
-
2018
- 2018-03-28 CN CN201880021609.3A patent/CN110462607B/zh active Active
- 2018-03-28 SG SG11201908634P patent/SG11201908634PA/en unknown
- 2018-03-28 WO PCT/US2018/024896 patent/WO2018187122A1/en active Application Filing
- 2018-03-28 EP EP18781480.1A patent/EP3607475A4/en not_active Withdrawn
Also Published As
Publication number | Publication date |
---|---|
US10747784B2 (en) | 2020-08-18 |
EP3607475A4 (en) | 2020-05-27 |
CN110462607A (zh) | 2019-11-15 |
US20180293292A1 (en) | 2018-10-11 |
EP3607475A1 (en) | 2020-02-12 |
WO2018187122A1 (en) | 2018-10-11 |
CN110462607B (zh) | 2023-05-23 |
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