BR102012003344A2 - Método para gerar um modelo de mistura geral de um conjunto de dados armazenado em um meio não-transitório - Google Patents

Método para gerar um modelo de mistura geral de um conjunto de dados armazenado em um meio não-transitório Download PDF

Info

Publication number
BR102012003344A2
BR102012003344A2 BRBR102012003344-5A BR102012003344A BR102012003344A2 BR 102012003344 A2 BR102012003344 A2 BR 102012003344A2 BR 102012003344 A BR102012003344 A BR 102012003344A BR 102012003344 A2 BR102012003344 A2 BR 102012003344A2
Authority
BR
Brazil
Prior art keywords
subset
component
model
subsets
models
Prior art date
Application number
BRBR102012003344-5A
Other languages
English (en)
Portuguese (pt)
Inventor
Robert Edward Callan
Brian Larder
Original Assignee
Gen Electric
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 Gen Electric filed Critical Gen Electric
Publication of BR102012003344A2 publication Critical patent/BR102012003344A2/pt

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/951—Indexing; Web crawling techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Generation (AREA)
  • Electron Beam Exposure (AREA)
BRBR102012003344-5A 2011-02-15 2012-02-14 Método para gerar um modelo de mistura geral de um conjunto de dados armazenado em um meio não-transitório BR102012003344A2 (pt)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US13/027,829 US20120209880A1 (en) 2011-02-15 2011-02-15 Method of constructing a mixture model

Publications (1)

Publication Number Publication Date
BR102012003344A2 true BR102012003344A2 (pt) 2015-08-04

Family

ID=45655746

Family Applications (1)

Application Number Title Priority Date Filing Date
BRBR102012003344-5A BR102012003344A2 (pt) 2011-02-15 2012-02-14 Método para gerar um modelo de mistura geral de um conjunto de dados armazenado em um meio não-transitório

Country Status (7)

Country Link
US (1) US20120209880A1 (en:Method)
EP (1) EP2490139B1 (en:Method)
JP (1) JP6001871B2 (en:Method)
CN (1) CN102693265B (en:Method)
BR (1) BR102012003344A2 (en:Method)
CA (1) CA2767504A1 (en:Method)
IN (1) IN2012DE00401A (en:Method)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6316844B2 (ja) * 2012-12-22 2018-04-25 エムモーダル アイピー エルエルシー 予測モデル生成のためのユーザーインタフェース
US9990568B2 (en) 2013-11-29 2018-06-05 Ge Aviation Systems Limited Method of construction of anomaly models from abnormal data
CN106156077A (zh) * 2015-03-31 2016-11-23 日本电气株式会社 用于混合模型选择的方法和装置
CN106156857B (zh) * 2015-03-31 2019-06-28 日本电气株式会社 变分推理的数据初始化的方法和装置
US10817796B2 (en) * 2016-03-07 2020-10-27 D-Wave Systems Inc. Systems and methods for machine learning
CN107644279A (zh) * 2016-07-21 2018-01-30 阿里巴巴集团控股有限公司 评价模型的建模方法及装置
CN109559214A (zh) 2017-09-27 2019-04-02 阿里巴巴集团控股有限公司 虚拟资源分配、模型建立、数据预测方法及装置
US11586915B2 (en) 2017-12-14 2023-02-21 D-Wave Systems Inc. Systems and methods for collaborative filtering with variational autoencoders
CN109657802B (zh) * 2019-01-28 2020-12-29 清华大学深圳研究生院 一种混合专家强化学习方法及系统
CN112990337B (zh) * 2021-03-31 2022-11-29 电子科技大学中山学院 一种面向目标识别的多阶段训练方法

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6449612B1 (en) * 1998-03-17 2002-09-10 Microsoft Corporation Varying cluster number in a scalable clustering system for use with large databases
US6263337B1 (en) * 1998-03-17 2001-07-17 Microsoft Corporation Scalable system for expectation maximization clustering of large databases
US7039239B2 (en) * 2002-02-07 2006-05-02 Eastman Kodak Company Method for image region classification using unsupervised and supervised learning
US7299135B2 (en) * 2005-11-10 2007-11-20 Idexx Laboratories, Inc. Methods for identifying discrete populations (e.g., clusters) of data within a flow cytometer multi-dimensional data set
US7664718B2 (en) * 2006-05-16 2010-02-16 Sony Corporation Method and system for seed based clustering of categorical data using hierarchies
US8432449B2 (en) * 2007-08-13 2013-04-30 Fuji Xerox Co., Ltd. Hidden markov model for camera handoff
JP2009086581A (ja) * 2007-10-03 2009-04-23 Toshiba Corp 音声認識の話者モデルを作成する装置およびプログラム
US8521659B2 (en) * 2008-08-14 2013-08-27 The United States Of America, As Represented By The Secretary Of The Navy Systems and methods of discovering mixtures of models within data and probabilistic classification of data according to the model mixture
US8493409B2 (en) * 2009-08-18 2013-07-23 Behavioral Recognition Systems, Inc. Visualizing and updating sequences and segments in a video surveillance system
CN101882150B (zh) * 2010-06-09 2012-09-26 南京大学 一种基于核密度估计的三维模型比较和检索方法
US8571328B2 (en) * 2010-08-16 2013-10-29 Adobe Systems Incorporated Determining correspondence between image regions

Also Published As

Publication number Publication date
CA2767504A1 (en) 2012-08-15
CN102693265B (zh) 2017-08-25
IN2012DE00401A (en:Method) 2015-06-05
EP2490139A1 (en) 2012-08-22
JP2012168949A (ja) 2012-09-06
CN102693265A (zh) 2012-09-26
US20120209880A1 (en) 2012-08-16
EP2490139B1 (en) 2020-04-01
JP6001871B2 (ja) 2016-10-05

Similar Documents

Publication Publication Date Title
BR102012003344A2 (pt) Método para gerar um modelo de mistura geral de um conjunto de dados armazenado em um meio não-transitório
Yun et al. Neo-gnns: Neighborhood overlap-aware graph neural networks for link prediction
Fischetti et al. A new general-purpose algorithm for mixed-integer bilevel linear programs
Fan et al. Learning to identify high betweenness centrality nodes from scratch: A novel graph neural network approach
Combe et al. I-louvain: An attributed graph clustering method
Liu et al. Semi-supervised community detection using label propagation
Smith et al. Partitioning networks with node attributes by compressing information flow
Knoch et al. Cycle representatives for the coarse-graining of systems driven into a non-equilibrium steady state
Wang et al. On Bharathi–Kempe–Salek conjecture for influence maximization on arborescence
Yang et al. Structural graphical lasso for learning mouse brain connectivity
Zhang et al. Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection.
EP3258388B1 (en) Parallelization techniques for variable selection and predictive models generation and its applications
Ganji et al. Lagrangian constrained community detection
Zhang et al. A hypothesis testing framework for modularity based network community detection
Prokhorenkova Using synthetic networks for parameter tuning in community detection
Han et al. Modify self-attention via skeleton decomposition for effective point cloud transformer
CN111712811B (zh) Hd地图的可扩展图形slam
Ahmad et al. Cluster identification and separation in the growing self-organizing map: application in protein sequence classification
da F. Vieira et al. Modularity based hierarchical community detection in networks
Jin et al. Extending a configuration model to find communities in complex networks
Qi et al. A community partitioning algorithm for cyberspace
Emde et al. Towards certification of uncertainty calibration under adversarial attacks
Lukyanov et al. Robustness questions the interpretability of graph neural networks: what to do?
Kamisiński et al. Assessing the structural complexity of computer and communication networks
Chatzianastasis et al. Mass enhanced node embeddings for drug repurposing

Legal Events

Date Code Title Description
B03A Publication of a patent application or of a certificate of addition of invention [chapter 3.1 patent gazette]
B06F Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette]
B06U Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]
B08F Application dismissed because of non-payment of annual fees [chapter 8.6 patent gazette]

Free format text: REFERENTE A 8A ANUIDADE.

B08K Patent lapsed as no evidence of payment of the annual fee has been furnished to inpi [chapter 8.11 patent gazette]

Free format text: REFERENTE AO DESPACHO 8.6 PUBLICADO NA RPI 2553 DE 10/12/2019.