CA2830159C - Procede pour decouvrir des modeles de markov caches - Google Patents

Procede pour decouvrir des modeles de markov caches Download PDF

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Publication number
CA2830159C
CA2830159C CA2830159A CA2830159A CA2830159C CA 2830159 C CA2830159 C CA 2830159C CA 2830159 A CA2830159 A CA 2830159A CA 2830159 A CA2830159 A CA 2830159A CA 2830159 C CA2830159 C CA 2830159C
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CA2830159A1 (fr
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Albert GALICK
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/14Speech classification or search using statistical models, e.g. Hidden Markov Models [HMMs]
    • G10L15/142Hidden Markov Models [HMMs]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12Classification; Matching

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Mathematics (AREA)
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  • Probability & Statistics with Applications (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Algebra (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Operations Research (AREA)
  • Databases & Information Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Complex Calculations (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

L'invention porte sur l'utilisation du programme modèle de Grower pour générer des candidats possibles à partir d'un modèle original ou agrégé. Un programme de réduction isomorphe opère sur les candidats pour identifier et exclure des modèles isomorphes. Un programme d'évaluation et d'optimisation de modèle de Markov fonctionne sur les candidats non isomorphes restants. Les candidats sont optimisés et ceux qui se conforment de la manière la plus proche aux données sont gardés. Le meilleur candidat optimisé d'un étage devient le candidat de départ pour l'étage suivant, le programme modèle de Grower et les autres programmes fonctionnant sur le candidat optimisé pour générer un nouveau candidat optimisé. L'invention répète les étapes de croissance, d'exclusion d'isomorphes, d'évaluation et d'optimisation jusqu'à ce que de telles répétitions conduisent à des résultats qui ne sont pas sensiblement meilleurs.
CA2830159A 2011-03-14 2011-03-14 Procede pour decouvrir des modeles de markov caches Active CA2830159C (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2011/028302 WO2012125146A1 (fr) 2011-03-14 2011-03-14 Procédé pour découvrir des modèles de markov cachés

Publications (2)

Publication Number Publication Date
CA2830159A1 CA2830159A1 (fr) 2012-09-20
CA2830159C true CA2830159C (fr) 2017-10-03

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ID=46831013

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CA2830159A Active CA2830159C (fr) 2011-03-14 2011-03-14 Procede pour decouvrir des modeles de markov caches

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EP (1) EP2686796A4 (fr)
JP (1) JP5898704B2 (fr)
AU (1) AU2011362611B2 (fr)
CA (1) CA2830159C (fr)
SG (1) SG193450A1 (fr)
WO (1) WO2012125146A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109934521B (zh) 2017-12-18 2021-07-13 北京京东尚科信息技术有限公司 货物保护方法、装置、系统和计算机可读存储介质

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000056793A (ja) * 1998-08-12 2000-02-25 Fuji Xerox Co Ltd 音声認識装置
KR20040012285A (ko) * 2002-08-02 2004-02-11 한국정보보호진흥원 은닉 마르코프 모델을 이용한 비정상행위 침입탐지 시스템및 방법
US7617091B2 (en) * 2003-11-14 2009-11-10 Xerox Corporation Method and apparatus for processing natural language using tape-intersection
US8407163B2 (en) * 2009-08-27 2013-03-26 Xerox Corporation Monitoring a device, network, or system with adaptive dynamic classification employing a hidden Markov model operating on a time sequence of information
JP2011243088A (ja) * 2010-05-20 2011-12-01 Sony Corp データ処理装置、データ処理方法、及び、プログラム

Also Published As

Publication number Publication date
SG193450A1 (en) 2013-10-30
CA2830159A1 (fr) 2012-09-20
WO2012125146A1 (fr) 2012-09-20
AU2011362611B2 (en) 2017-06-01
EP2686796A4 (fr) 2015-05-13
JP5898704B2 (ja) 2016-04-06
JP2014515131A (ja) 2014-06-26
EP2686796A1 (fr) 2014-01-22
AU2011362611A1 (en) 2013-09-26

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