NO319838B1 - Forbedring av kunnskapsoppdagelse fra multiple datasett ved a bruke flere stotte-vektormaskiner - Google Patents

Forbedring av kunnskapsoppdagelse fra multiple datasett ved a bruke flere stotte-vektormaskiner Download PDF

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Publication number
NO319838B1
NO319838B1 NO20015723A NO20015723A NO319838B1 NO 319838 B1 NO319838 B1 NO 319838B1 NO 20015723 A NO20015723 A NO 20015723A NO 20015723 A NO20015723 A NO 20015723A NO 319838 B1 NO319838 B1 NO 319838B1
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Norway
Prior art keywords
data
support vector
data set
training data
test
Prior art date
Application number
NO20015723A
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English (en)
Norwegian (no)
Other versions
NO20015723D0 (no
NO20015723L (no
Inventor
Stephen D Barnhill
Original Assignee
Health Discovery Corp
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.)
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Publication date
Application filed by Health Discovery Corp filed Critical Health Discovery Corp
Publication of NO20015723D0 publication Critical patent/NO20015723D0/no
Publication of NO20015723L publication Critical patent/NO20015723L/no
Publication of NO319838B1 publication Critical patent/NO319838B1/no

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Debugging And Monitoring (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Complex Calculations (AREA)
  • Electrically Operated Instructional Devices (AREA)
NO20015723A 1999-05-25 2001-11-23 Forbedring av kunnskapsoppdagelse fra multiple datasett ved a bruke flere stotte-vektormaskiner NO319838B1 (no)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13571599P 1999-05-25 1999-05-25
PCT/US2000/014326 WO2000072257A2 (en) 1999-05-25 2000-05-24 Enhancing knowledge discovery from multiple data sets using multiple support vector machines

Publications (3)

Publication Number Publication Date
NO20015723D0 NO20015723D0 (no) 2001-11-23
NO20015723L NO20015723L (no) 2002-01-23
NO319838B1 true NO319838B1 (no) 2005-09-19

Family

ID=22469322

Family Applications (1)

Application Number Title Priority Date Filing Date
NO20015723A NO319838B1 (no) 1999-05-25 2001-11-23 Forbedring av kunnskapsoppdagelse fra multiple datasett ved a bruke flere stotte-vektormaskiner

Country Status (14)

Country Link
EP (1) EP1192595B8 (cg-RX-API-DMAC10.html)
JP (1) JP2003500766A (cg-RX-API-DMAC10.html)
KR (1) KR100724104B1 (cg-RX-API-DMAC10.html)
CN (1) CN1197025C (cg-RX-API-DMAC10.html)
AT (1) ATE311635T1 (cg-RX-API-DMAC10.html)
AU (1) AU780050B2 (cg-RX-API-DMAC10.html)
CA (1) CA2371240C (cg-RX-API-DMAC10.html)
DE (1) DE60024452T2 (cg-RX-API-DMAC10.html)
EA (1) EA200101238A1 (cg-RX-API-DMAC10.html)
ES (1) ES2254182T3 (cg-RX-API-DMAC10.html)
IL (2) IL146705A0 (cg-RX-API-DMAC10.html)
NO (1) NO319838B1 (cg-RX-API-DMAC10.html)
NZ (1) NZ515707A (cg-RX-API-DMAC10.html)
WO (1) WO2000072257A2 (cg-RX-API-DMAC10.html)

Families Citing this family (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002059828A2 (en) * 2001-01-23 2002-08-01 Biowulf Technologies, Llc Computer-aided image analysis
AUPR464601A0 (en) * 2001-04-30 2001-05-24 Commonwealth Of Australia, The Shapes vector
EP1393196A4 (en) * 2001-05-07 2007-02-28 Health Discovery Corp CORES AND METHODS FOR SELECTING CORES FOR USE IN TEACHING MACHINES
KR100483602B1 (ko) * 2001-10-12 2005-04-15 (주)이캐빈 이메일 모니터링 방법 및 시스템
ITBO20010763A1 (it) 2001-12-14 2003-06-16 Renato Campanini Metodo , e relativa apparecchiatura , per la ricerca automatica di zone di interesse in immagini digitali di tessuto biologico
JP4034602B2 (ja) * 2002-06-17 2008-01-16 富士通株式会社 データ分類装置、データ分類装置の能動学習方法及び能動学習プログラム
CN1327376C (zh) * 2004-04-08 2007-07-18 上海交通大学 基于支持向量机的软测量仪表建模方法
CN100353355C (zh) * 2004-08-12 2007-12-05 上海交通大学 减少支持向量与训练时间的交叉合并方法
WO2006066352A1 (en) * 2004-12-24 2006-06-29 The University Of Queensland Method for generating multiple orthogonal support vector machines
US7197487B2 (en) * 2005-03-16 2007-03-27 Lg Chem, Ltd. Apparatus and method for estimating battery state of charge
JP4662909B2 (ja) * 2006-11-16 2011-03-30 日本電信電話株式会社 特徴評価方法及び装置及びプログラム
JP4446035B2 (ja) * 2007-11-02 2010-04-07 国立大学法人山口大学 健全性劣化評価システム
JP5425814B2 (ja) * 2008-02-08 2014-02-26 ヘルス ディスカバリー コーポレイション サポートベクタマシンを用いてフローサイトメトリーデータを分析するための方法及びシステム
CN101252224B (zh) * 2008-04-08 2012-02-08 西安电子科技大学 平板裂缝天线缝制造精度对电性能影响的预测方法
JPWO2012091093A1 (ja) * 2010-12-28 2014-06-05 啓 田代 緑内障診断チップと変形プロテオミクスクラスター解析による緑内障統合的判定方法
CN102509116A (zh) * 2011-11-23 2012-06-20 西北工业大学 一种支持向量机和粗糙集的故障诊断知识获取方法
US20210391083A1 (en) * 2012-08-16 2021-12-16 Ginger.io, Inc. Method for providing health therapeutic interventions to a user
US20140358830A1 (en) 2013-05-30 2014-12-04 Synopsys, Inc. Lithographic hotspot detection using multiple machine learning kernels
JP6208552B2 (ja) * 2013-11-14 2017-10-04 株式会社デンソーアイティーラボラトリ 識別器、識別プログラム、及び識別方法
JP6908977B2 (ja) * 2016-07-22 2021-07-28 株式会社トプコン 医療情報処理システム、医療情報処理装置及び医療情報処理方法
CN109690578B (zh) 2016-10-05 2024-01-02 英特尔公司 自主机器的通用输入/输出数据捕获和神经高速缓存系统
CN113469213A (zh) * 2017-04-28 2021-10-01 成都天钥科技有限公司 对象识别方法及装置、终端、处理器、存储介质
CN107316054A (zh) * 2017-05-26 2017-11-03 昆山遥矽微电子科技有限公司 基于卷积神经网络和支持向量机的非标准字符识别方法
CN109936525B (zh) * 2017-12-15 2020-07-31 阿里巴巴集团控股有限公司 一种基于图结构模型的异常账号防控方法、装置以及设备
CN108198268B (zh) * 2017-12-19 2020-10-16 江苏极熵物联科技有限公司 一种生产设备数据标定方法
CN110031793B (zh) * 2019-04-09 2023-06-02 中国电子科技集团公司第三十六研究所 一种干涉仪测向方法、装置和系统
US11720818B2 (en) 2019-09-11 2023-08-08 Samsung Display Co., Ltd. System and method to improve accuracy of regression models trained with imbalanced data
US11334795B2 (en) 2020-03-14 2022-05-17 DataRobot, Inc. Automated and adaptive design and training of neural networks
KR102893553B1 (ko) 2020-08-11 2025-12-02 주식회사 케이티 실감형 미디어 컨텐츠를 제공하는 서버, 방법 및 컴퓨터 프로그램

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5138694A (en) * 1991-06-28 1992-08-11 United Technologies Corporation Parallel processing qualitative reasoning system
JPH05101028A (ja) * 1991-10-04 1993-04-23 Nippon Telegr & Teleph Corp <Ntt> 複数特徴量の統合判定方法
US5649068A (en) * 1993-07-27 1997-07-15 Lucent Technologies Inc. Pattern recognition system using support vectors
JPH07253961A (ja) * 1994-01-26 1995-10-03 Meidensha Corp ニューラルネットワークにおける連続値処理方法
JPH10247243A (ja) * 1997-03-04 1998-09-14 Mitsubishi Heavy Ind Ltd 識別装置
US6134344A (en) * 1997-06-26 2000-10-17 Lucent Technologies Inc. Method and apparatus for improving the efficiency of support vector machines

Also Published As

Publication number Publication date
CA2371240A1 (en) 2000-11-30
NZ515707A (en) 2003-06-30
NO20015723D0 (no) 2001-11-23
JP2003500766A (ja) 2003-01-07
WO2000072257A3 (en) 2002-01-03
CA2371240C (en) 2011-08-09
EA200101238A1 (ru) 2002-10-31
ES2254182T3 (es) 2006-06-16
AU780050B2 (en) 2005-02-24
DE60024452D1 (de) 2006-01-05
KR20020030744A (ko) 2002-04-25
AU5161200A (en) 2000-12-12
NO20015723L (no) 2002-01-23
EP1192595B8 (en) 2006-02-01
IL146705A0 (en) 2002-07-25
DE60024452T2 (de) 2006-08-03
CN1358288A (zh) 2002-07-10
CN1197025C (zh) 2005-04-13
KR100724104B1 (ko) 2007-06-04
WO2000072257A2 (en) 2000-11-30
IL146705A (en) 2006-10-31
EP1192595A2 (en) 2002-04-03
EP1192595B1 (en) 2005-11-30
ATE311635T1 (de) 2005-12-15

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