WO2004107264A3 - Adaptive learning enhancement to auotmated model maintenance - Google Patents

Adaptive learning enhancement to auotmated model maintenance Download PDF

Info

Publication number
WO2004107264A3
WO2004107264A3 PCT/US2004/016177 US2004016177W WO2004107264A3 WO 2004107264 A3 WO2004107264 A3 WO 2004107264A3 US 2004016177 W US2004016177 W US 2004016177W WO 2004107264 A3 WO2004107264 A3 WO 2004107264A3
Authority
WO
WIPO (PCT)
Prior art keywords
model
adaptive learning
auotmated
model maintenance
training data
Prior art date
Application number
PCT/US2004/016177
Other languages
French (fr)
Other versions
WO2004107264A2 (en
Inventor
Meng Zhuo
Duan Baofu
Pao Yoh-Han
Original Assignee
Computer Ass Think Inc
Meng Zhuo
Duan Baofu
Pao Yoh-Han
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 Computer Ass Think Inc, Meng Zhuo, Duan Baofu, Pao Yoh-Han filed Critical Computer Ass Think Inc
Priority to EP04753068A priority Critical patent/EP1636738A2/en
Publication of WO2004107264A2 publication Critical patent/WO2004107264A2/en
Publication of WO2004107264A3 publication Critical patent/WO2004107264A3/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

Abstract

An adaptive learning method for automated maintenance of a neural net model is provided. The neural net model is trained with an initial set of training data. Partial products of the trained model are stored. When new training data are available, the trained model is updated by using the stored partial products and the new training data to compute weights for the updated model.
PCT/US2004/016177 2003-05-23 2004-05-21 Adaptive learning enhancement to auotmated model maintenance WO2004107264A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP04753068A EP1636738A2 (en) 2003-05-23 2004-05-21 Adaptive learning enhancement to auotmated model maintenance

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US47332003P 2003-05-23 2003-05-23
US60/473,320 2003-05-23

Publications (2)

Publication Number Publication Date
WO2004107264A2 WO2004107264A2 (en) 2004-12-09
WO2004107264A3 true WO2004107264A3 (en) 2006-02-09

Family

ID=33490588

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2004/016177 WO2004107264A2 (en) 2003-05-23 2004-05-21 Adaptive learning enhancement to auotmated model maintenance

Country Status (3)

Country Link
US (1) US7092922B2 (en)
EP (1) EP1636738A2 (en)
WO (1) WO2004107264A2 (en)

Families Citing this family (54)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004107264A2 (en) * 2003-05-23 2004-12-09 Computer Associates Think, Inc. Adaptive learning enhancement to auotmated model maintenance
US7457674B2 (en) * 2004-08-27 2008-11-25 Siemens Corporate Research, Inc. System, device, and methods for updating system-monitoring models
US20090083075A1 (en) * 2004-09-02 2009-03-26 Cornell University System and method for analyzing medical data to determine diagnosis and treatment
US20060059145A1 (en) * 2004-09-02 2006-03-16 Claudia Henschke System and method for analyzing medical data to determine diagnosis and treatment
DE102005031117A1 (en) * 2005-07-04 2007-01-11 Siemens Ag Method and device for determining an operating parameter of a shockwave source
US8301576B2 (en) * 2005-10-27 2012-10-30 Ca, Inc. Weighted pattern learning for neural networks
US20170046458A1 (en) 2006-02-14 2017-02-16 Power Analytics Corporation Systems and methods for real-time dc microgrid power analytics for mission-critical power systems
US11016450B2 (en) * 2006-02-14 2021-05-25 Power Analytics Corporation Real-time predictive systems for intelligent energy monitoring and management of electrical power networks
US9557723B2 (en) * 2006-07-19 2017-01-31 Power Analytics Corporation Real-time predictive systems for intelligent energy monitoring and management of electrical power networks
US9092593B2 (en) 2007-09-25 2015-07-28 Power Analytics Corporation Systems and methods for intuitive modeling of complex networks in a digital environment
US20160246905A1 (en) 2006-02-14 2016-08-25 Power Analytics Corporation Method For Predicting Arc Flash Energy And PPE Category Within A Real-Time Monitoring System
US8959006B2 (en) * 2006-03-10 2015-02-17 Power Analytics Corporation Systems and methods for automatic real-time capacity assessment for use in real-time power analytics of an electrical power distribution system
US20210326731A1 (en) * 2006-02-14 2021-10-21 Power Analytics Corporation Systems and Methods for Automatic Real-Time Capacity Assessment for Use in Real-Time Power Analytics of an Electrical Power Distribution System
US7603351B2 (en) * 2006-04-19 2009-10-13 Apple Inc. Semantic reconstruction
US7672915B2 (en) * 2006-08-25 2010-03-02 Research In Motion Limited Method and system for labelling unlabeled data records in nodes of a self-organizing map for use in training a classifier for data classification in customer relationship management systems
US8427670B2 (en) * 2007-05-18 2013-04-23 Xerox Corporation System and method for improving throughput in a print production environment
TWI338916B (en) * 2007-06-08 2011-03-11 Univ Nat Cheng Kung Dual-phase virtual metrology method
US8725546B2 (en) * 2007-07-18 2014-05-13 Xerox Corporation Workflow scheduling method and system
US8134743B2 (en) * 2007-07-18 2012-03-13 Xerox Corporation Methods and systems for routing and processing jobs in a production environment
US8145517B2 (en) * 2007-07-18 2012-03-27 Xerox Corporation Methods and systems for scheduling job sets in a production environment
US8127012B2 (en) * 2007-07-18 2012-02-28 Xerox Corporation System and methods for efficient and adequate data collection in document production environments
US20090025002A1 (en) * 2007-07-18 2009-01-22 Xerox Corporation Methods and systems for routing large, high-volume, high-variability print jobs in a document production environment
US8144364B2 (en) 2007-07-18 2012-03-27 Xerox Corporation Methods and systems for processing heavy-tailed job distributions in a document production environment
US7953681B2 (en) * 2007-12-12 2011-05-31 Xerox Corporation System and method of forecasting print job related demand
US20090327033A1 (en) * 2008-06-26 2009-12-31 Xerox Corporation Methods and systems for forecasting inventory levels in a production environment
US20110082597A1 (en) 2009-10-01 2011-04-07 Edsa Micro Corporation Microgrid model based automated real time simulation for market based electric power system optimization
JP5477424B2 (en) * 2012-07-02 2014-04-23 沖電気工業株式会社 Object detection apparatus, object detection method, and program
US9508042B2 (en) * 2012-11-05 2016-11-29 National Cheng Kung University Method for predicting machining quality of machine tool
US9317812B2 (en) * 2012-11-30 2016-04-19 Facebook, Inc. Customized predictors for user actions in an online system
US10417653B2 (en) * 2013-01-04 2019-09-17 PlaceIQ, Inc. Inferring consumer affinities based on shopping behaviors with unsupervised machine learning models
CN103838207A (en) * 2013-12-09 2014-06-04 浙江大学 Multimode optimal soft measuring instrument and method for polymerization production process of propylene
CN103823430B (en) * 2013-12-09 2016-05-18 浙江大学 Intelligence weighting propylene polymerization production process optimal soft measuring system and method
US20170161628A1 (en) * 2014-04-28 2017-06-08 Nec Corporation Maintenance period determination device, deterioration estimation system, deterioration estimation method, and recording medium
JP6708204B2 (en) * 2015-03-23 2020-06-10 日本電気株式会社 Accuracy estimation model generation system and accuracy estimation system
JP6661398B2 (en) * 2016-02-03 2020-03-11 キヤノン株式会社 Information processing apparatus and information processing method
US11222266B2 (en) 2016-07-15 2022-01-11 Intuit Inc. System and method for automatic learning of functions
US11049190B2 (en) 2016-07-15 2021-06-29 Intuit Inc. System and method for automatically generating calculations for fields in compliance forms
US10140277B2 (en) * 2016-07-15 2018-11-27 Intuit Inc. System and method for selecting data sample groups for machine learning of context of data fields for various document types and/or for test data generation for quality assurance systems
US10579721B2 (en) 2016-07-15 2020-03-03 Intuit Inc. Lean parsing: a natural language processing system and method for parsing domain-specific languages
US10725896B2 (en) 2016-07-15 2020-07-28 Intuit Inc. System and method for identifying a subset of total historical users of a document preparation system to represent a full set of test scenarios based on code coverage
CN107623827B (en) * 2017-08-15 2020-06-09 上海集成电路研发中心有限公司 Intelligent CMOS image sensor chip and manufacturing method thereof
US10634081B2 (en) * 2018-02-05 2020-04-28 Toyota Jidosha Kabushiki Kaisha Control device of internal combustion engine
US10546054B1 (en) * 2018-02-28 2020-01-28 Intuit Inc. System and method for synthetic form image generation
US10657377B2 (en) 2018-06-12 2020-05-19 At&T Intellectual Property I, L.P. Model-driven learning for video analytics
WO2020041859A1 (en) * 2018-08-29 2020-03-05 Darwinai Corporation System and method for building and using learning machines to understand and explain learning machines
US11605025B2 (en) 2019-05-14 2023-03-14 Msd International Gmbh Automated quality check and diagnosis for production model refresh
US11163956B1 (en) 2019-05-23 2021-11-02 Intuit Inc. System and method for recognizing domain specific named entities using domain specific word embeddings
US11302310B1 (en) * 2019-05-30 2022-04-12 Amazon Technologies, Inc. Language model adaptation
CN113966596B (en) * 2019-06-11 2024-03-01 瑞典爱立信有限公司 Method and apparatus for data traffic routing
US11640556B2 (en) 2020-01-28 2023-05-02 Microsoft Technology Licensing, Llc Rapid adjustment evaluation for slow-scoring machine learning models
US11783128B2 (en) 2020-02-19 2023-10-10 Intuit Inc. Financial document text conversion to computer readable operations
US20210342736A1 (en) * 2020-04-30 2021-11-04 UiPath, Inc. Machine learning model retraining pipeline for robotic process automation
US20220164700A1 (en) * 2020-11-25 2022-05-26 UiPath, Inc. Robotic process automation architectures and processes for hosting, monitoring, and retraining machine learning models
CN114764550A (en) 2021-01-12 2022-07-19 联华电子股份有限公司 Operation method and operation device of failure detection and classification model

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5812992A (en) * 1995-05-24 1998-09-22 David Sarnoff Research Center Inc. Method and system for training a neural network with adaptive weight updating and adaptive pruning in principal component space
US6463341B1 (en) * 1998-06-04 2002-10-08 The United States Of America As Represented By The Secretary Of The Air Force Orthogonal functional basis method for function approximation
US20030055797A1 (en) * 2001-07-30 2003-03-20 Seiji Ishihara Neural network system, software and method of learning new patterns without storing existing learned patterns

Family Cites Families (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4193115A (en) * 1977-12-15 1980-03-11 The United States Of America As Represented By The Secretary Of Commerce Method and apparatus for implementation of the CMAC mapping algorithm
US4215396A (en) * 1978-08-24 1980-07-29 Texas Instruments Incorporated Intelligent programmable process control system
US4438497A (en) * 1981-07-20 1984-03-20 Ford Motor Company Adaptive strategy to control internal combustion engine
US4649515A (en) * 1984-04-30 1987-03-10 Westinghouse Electric Corp. Methods and apparatus for system fault diagnosis and control
JPH0789283B2 (en) * 1984-11-02 1995-09-27 株式会社日立製作所 Formula processing control system
US4670848A (en) * 1985-04-10 1987-06-02 Standard Systems Corporation Artificial intelligence system
US4663703A (en) * 1985-10-02 1987-05-05 Westinghouse Electric Corp. Predictive model reference adaptive controller
US4754410A (en) * 1986-02-06 1988-06-28 Westinghouse Electric Corp. Automated rule based process control method with feedback and apparatus therefor
US4858147A (en) * 1987-06-15 1989-08-15 Unisys Corporation Special purpose neurocomputer system for solving optimization problems
FR2625347B1 (en) * 1987-12-23 1990-05-04 Labo Electronique Physique NEURON NETWORK STRUCTURE AND CIRCUIT AND ARRANGEMENT OF NEURON NETWORKS
US4979126A (en) * 1988-03-30 1990-12-18 Ai Ware Incorporated Neural network with non-linear transformations
US4928484A (en) * 1988-12-20 1990-05-29 Allied-Signal Inc. Nonlinear multivariable control system
US4972363A (en) * 1989-02-01 1990-11-20 The Boeing Company Neural network using stochastic processing
JPH0660826B2 (en) * 1989-02-07 1994-08-10 動力炉・核燃料開発事業団 Plant abnormality diagnosis method
US5119468A (en) 1989-02-28 1992-06-02 E. I. Du Pont De Nemours And Company Apparatus and method for controlling a process using a trained parallel distributed processing network
JP2821189B2 (en) * 1989-09-01 1998-11-05 株式会社日立製作所 Learning type decision support system
US5140523A (en) * 1989-09-05 1992-08-18 Ktaadn, Inc. Neural network for predicting lightning
JPH0711256B2 (en) * 1989-09-06 1995-02-08 本田技研工業株式会社 Control device for internal combustion engine
IT1232989B (en) * 1989-09-14 1992-03-13 Rizzi & Co Spa Luigi SINGLE-PASS LEATHER SHAVING MACHINE
CA2031765C (en) * 1989-12-08 1996-02-20 Masahide Nomura Method and system for performing control conforming with characteristics of controlled system
US5111531A (en) * 1990-01-08 1992-05-05 Automation Technology, Inc. Process control using neural network
US5398302A (en) * 1990-02-07 1995-03-14 Thrift; Philip Method and apparatus for adaptive learning in neural networks
US5052043A (en) * 1990-05-07 1991-09-24 Eastman Kodak Company Neural network with back propagation controlled through an output confidence measure
US5113483A (en) * 1990-06-15 1992-05-12 Microelectronics And Computer Technology Corporation Neural network with semi-localized non-linear mapping of the input space
US5142612A (en) * 1990-08-03 1992-08-25 E. I. Du Pont De Nemours & Co. (Inc.) Computer neural network supervisory process control system and method
US5175678A (en) * 1990-08-15 1992-12-29 Elsag International B.V. Method and procedure for neural control of dynamic processes
JP3116370B2 (en) * 1990-11-06 2000-12-11 ソニー株式会社 Imaging device
US5335291A (en) * 1991-09-20 1994-08-02 Massachusetts Institute Of Technology Method and apparatus for pattern mapping system with self-reliability check
US5349541A (en) * 1992-01-23 1994-09-20 Electric Power Research Institute, Inc. Method and apparatus utilizing neural networks to predict a specified signal value within a multi-element system
US5467883A (en) * 1992-12-14 1995-11-21 At&T Corp. Active neural network control of wafer attributes in a plasma etch process
US5485390A (en) * 1993-11-30 1996-01-16 The United States Of America As Represented By The Secrectary Of The Air Force Inductive-deductive process design for machined parts
US5848402A (en) * 1994-07-07 1998-12-08 Ai Ware, Inc. Universal system for artificial intelligence based learning, categorization, and optimization
US5734796A (en) * 1995-09-29 1998-03-31 Ai Ware, Inc. Self-organization of pattern data with dimension reduction through learning of non-linear variance-constrained mapping
US6134537A (en) * 1995-09-29 2000-10-17 Ai Ware, Inc. Visualization and self organization of multidimensional data through equalized orthogonal mapping
US6850874B1 (en) * 1998-04-17 2005-02-01 United Technologies Corporation Method and apparatus for predicting a characteristic of a product attribute formed by a machining process using a model of the process
US6327550B1 (en) * 1998-05-26 2001-12-04 Computer Associates Think, Inc. Method and apparatus for system state monitoring using pattern recognition and neural networks
US6941287B1 (en) * 1999-04-30 2005-09-06 E. I. Du Pont De Nemours And Company Distributed hierarchical evolutionary modeling and visualization of empirical data
US6829598B2 (en) * 2000-10-02 2004-12-07 Texas Instruments Incorporated Method and apparatus for modeling a neural synapse function by utilizing a single conventional MOSFET
US20040193558A1 (en) * 2003-03-27 2004-09-30 Alex Nugent Adaptive neural network utilizing nanotechnology-based components
WO2004107264A2 (en) * 2003-05-23 2004-12-09 Computer Associates Think, Inc. Adaptive learning enhancement to auotmated model maintenance

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5812992A (en) * 1995-05-24 1998-09-22 David Sarnoff Research Center Inc. Method and system for training a neural network with adaptive weight updating and adaptive pruning in principal component space
US6463341B1 (en) * 1998-06-04 2002-10-08 The United States Of America As Represented By The Secretary Of The Air Force Orthogonal functional basis method for function approximation
US20030055797A1 (en) * 2001-07-30 2003-03-20 Seiji Ishihara Neural network system, software and method of learning new patterns without storing existing learned patterns

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SHADAFAN R S ET AL: "A dynamic neural network architecture by sequential partitioning of the input space", 1993 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS (CAT. NO.93CH3274-8) IEEE NEW YORK, NY, USA, 1993, pages 226 - 231 vol.1, XP002354940, ISBN: 0-7803-0999-5 *
YAMAUCHI K ET AL: "An incremental learning method with relearning of recalled interfered patterns", NEURAL NETWORKS FOR SIGNAL PROCESSING VI. PROCEEDINGS OF THE 1996 IEEE SIGNAL PROCESSING SOCIETY WORKSHOP (CAT. NO.96TH8205) IEEE NEW YORK, NY, USA, 1996, pages 243 - 252, XP002354939, ISBN: 0-7803-3550-3 *

Also Published As

Publication number Publication date
US7092922B2 (en) 2006-08-15
EP1636738A2 (en) 2006-03-22
US20050033709A1 (en) 2005-02-10
WO2004107264A2 (en) 2004-12-09

Similar Documents

Publication Publication Date Title
WO2004107264A3 (en) Adaptive learning enhancement to auotmated model maintenance
WO2007090033A3 (en) Meta learning for question classification
WO2007055721A3 (en) Electronic animal trainer with temperament learning
EP3876161A4 (en) Method and apparatus for training deep learning model
EP1571652A3 (en) Combining active and semi-supervised learning for spoken language understanding
WO2020180014A3 (en) Method and system for training autonomous driving agent on basis of deep reinforcement learning
WO2003090163A3 (en) Automatic neural-net model generation and maintenance
WO2006034029A3 (en) A system and method for supporting language development
WO2008008370A3 (en) Adaptive spaced teaching method and system
EP1720130A4 (en) Reference data optimization learning method and pattern recognition system
WO2007050622A3 (en) Weighted pattern learning for neural networks
WO2006093928A3 (en) Method of model scaling for an automated essay scoring system
EP4200763A4 (en) Method and system for training a neural network model using adversarial learning and knowledge distillation
HK1101290A1 (en) A method of adaptive learning through pattern matching
WO2008020737A3 (en) Method for transmitting and receiving a signal to protect against erroneous feedback information
WO2001027789A3 (en) Robust modeling
RU2007111129A (en) SYSTEM, DEVICE AND METHODS FOR UPDATING SYSTEM CONTROL MODELS
EP1470845A3 (en) Game performing method, storage medium, game apparatus, data signal and program
EP4131081A4 (en) Large deep learning model training method and system, device, and medium
EP4200762A4 (en) Method and system for training a neural network model using gradual knowledge distillation
EP4080407A4 (en) Inference computing apparatus, model training apparatus, and inference computing system
EP3889846A4 (en) Deep learning model training method and system
WO2006021006A3 (en) Non-human animal models for diabetic complications and their uses
WO2003063017A3 (en) Self-organizing feature map with improved performance by non-monotonic variation of the learning rate
WO2004092349A3 (en) Plant cells and plants with increased tolerance to environmental stress

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A2

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BW BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE EG ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NA NI NO NZ OM PG PH PL PT RO RU SC SD SE SG SK SL SY TJ TM TN TR TT TZ UA UG US UZ VC VN YU ZA ZM ZW

AL Designated countries for regional patents

Kind code of ref document: A2

Designated state(s): BW GH GM KE LS MW MZ NA SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LU MC NL PL PT RO SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
DPEN Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed from 20040101)
WWE Wipo information: entry into national phase

Ref document number: 2004753068

Country of ref document: EP

WWP Wipo information: published in national office

Ref document number: 2004753068

Country of ref document: EP