网站综合信息 www.bayesia.net
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    • Ce site est en vente! bayesia.net est votre source d’informations généralistes sur le web ! Nous vo 
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    • 域名年龄:12年2个月12天  注册日期:2013年03月15日  到期时间:2015年03月15日
      邮箱:abuse  电话:+1.3054348621
      注册商:MARCARIA.COM, INTERNATIONAL, INC. 
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    bayesia.net

    域名年龄: 12年2个月12天
    注册时间: 2013-03-15
    到期时间: 2015-03-15
    注 册 商: MARCARIA.COM, INTERNATIONAL, INC.
    注册邮箱: abuse
    联系电话: +1.3054348621

    获取时间: 2014年10月01日 19:34:48
    Domain Name: BAYESIA.NET
    Registrar: MARCARIA.COM, INTERNATIONAL, INC.
    Whois Server: whois-generic.marcaria.com
    Referral URL: http://www.marcaria.com
    Name Server: NS1.BAYESIA.US
    Name Server: NS2.BAYESIA.US
    Status: clientTransferProhibited
    Updated Date: 2014-02-26
    Creation Date: 2013-03-15
    Expiration Date: 2015-03-15

    >>> Last update of whois database: Wed, 2014-Oct-01 11:37:36 GMT <<<

    Domain Name: BAYESIA.NET
    Registry Domain ID:
    Registrar WHOIS Server: whois-generic.marcaria.com
    Registrar URL: www.marcaria.com
    Updated Date: 2014-Feb-26
    Creation Date: 2013-Mar-15
    Registrar Registration Expiration Date: 2015-Mar-15
    Registrar: Marcaria.com International, Inc.
    Registrar IANA ID: 1086
    Registrar Abuse Contact Email: abuse
    Registrar Abuse Contact Phone: +1.3054348621
    Domain Status: clientTransferProhibited
    Registry Registrant ID: DI_26905535
    Registrant Name: bayesia.net
    Registrant Organization: Stefan Conrady
    Registrant Street: 312 Hamlets End Way
    Registrant City: Franklin
    Registrant State/Province:
    Registrant Postal Code: 37067
    Registrant Country: US
    Registrant Phone: +161.58704205
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    Registrant Email: sconrady
    Registry Admin ID: DI_26905535
    Admin Name: bayesia.net
    Admin Organization: Stefan Conrady
    Admin Street: 312 Hamlets End Way
    Admin City: Franklin
    Admin State/Province:
    Admin Postal Code: 37067
    Admin Country: US
    Admin Phone: +161.58704205
    Admin Phone Ext:
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    Admin Fax Ext:
    Admin Email: sconrady
    Registry Tech ID: DI_6929417
    Tech Name: Francisco Fuentealba
    Tech Organization: Marcaria.com
    Tech Street: 8345 NW 66 ST #B1673
    Tech City: Miami
    Tech State/Province: Florida
    Tech Postal Code: 33166
    Tech Country: US
    Tech Phone: +1.3054348621
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    Name Server: ns1.bayesia.us
    Name Server: ns2.bayesia.us
    DNSSEC:Unsigned
    URL of the ICANN WHOIS Data Problem Reporting System:
    http://wdprs.internic.net/
    >>>Last update of WHOIS database: 2014-10-01T11:37:47+0000Z<<<

    Registration Service Provided By: MARCARIA.COM

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    抓取时间:2019年07月10日 18:28:59
    网址:http://www.bayesia.net/
    标题:bayesia.net - Ce site est en vente! - Portail d'informations
    关键字:Bayesian networks, BayesiaLab, data mining, analytics, machine learning, knowledge modeling, probabilistic graphical mod
    描述:Ce site est en vente! bayesia.net est votre source d’informations généralistes sur le web ! Nous vous souhaitons de fructueuses recherches ! bayesia.net
    主体:
    Questions? Feedback? powered by Olark live chat softwareHomeBayesiaLab SoftwareKnowledge ModelingData ManagementNetwork LearningNetwork LayoutNetwork EvaluationInferenceVisual Network AnalysisNetwork Analysis ReportsOptimizationNetwork ToolsGraphing & PlottingBayesiaLab EditionsPricingBayesia ExpertKnowledge ElicitationEnvironmentBayesia Engine APIBayesia Market SimulatorTrial DownloadCourses & EventsSeptember 16-18, 2014Introductory CourseLos AngelesSeptember 19-20, 2014Causal Inference CourseLos AngelesSeptember 21-23, 2014Advanced CourseLos AngelesSeptember 23, 2014BayesiaLab User ConferenceOpening SessionSeptember 24, 2014BayesiaLab User Conference Main Conference SessionNovember 19-21, 2013Introductory CourseWashington, D.C.Tutorials & Case StudiesIntroduction to Bayesian NetworksEvidential Reasoning with Bayesian NetworksBreast Cancer DiagnosticsKnowledge Discovery in the Stock MarketCausal InferenceMarketing Mix ModelingLoyalty Driver AnalysisMicroarray AnalysisMissing Values ProcessingChoice ModelingParadoxes & FallaciesVehicle Weight, Size, and Injury RiskKey Drivers Analysis & Product OptimizationProbabilistic Latent Factor InductionFrom Bayesian Networks to Causal and Counterfactual ReasoningBlogAboutFAQHomeBayesiaLab SoftwareKnowledge ModelingData ManagementNetwork LearningNetwork LayoutNetwork EvaluationInferenceVisual Network AnalysisNetwork Analysis ReportsOptimizationNetwork ToolsGraphing & PlottingBayesiaLab EditionsPricing
    Bayesia ExpertKnowledge ElicitationEnvironment
    Bayesia Engine API
    Bayesia Market Simulator
    Trial Download
    Courses & Events
    September 16-18, 2014Introductory CourseLos Angeles
    September 19-20, 2014Causal Inference CourseLos Angeles
    September 21-23, 2014Advanced CourseLos Angeles
    September 23, 2014BayesiaLab User ConferenceOpening Session
    September 24, 2014BayesiaLab User Conference Main Conference Session
    November 19-21, 2013Introductory CourseWashington, D.C.
    Tutorials & Case Studies
    Introduction to Bayesian Networks
    Evidential Reasoning with Bayesian Networks
    Breast Cancer Diagnostics
    Knowledge Discovery in the Stock Market
    Causal Inference
    Marketing Mix Modeling
    Loyalty Driver Analysis
    Microarray Analysis
    Missing Values Processing
    Choice Modeling
    Paradoxes & Fallacies
    Vehicle Weight, Size, and Injury Risk
    Key Drivers Analysis & Product Optimization
    Probabilistic Latent Factor Induction
    From Bayesian Networks to Causal and Counterfactual Reasoning
    Blog
    About
    FAQ
    What is BayesiaLab?
    BayesiaLab 5.3 is a powerful Artificial Intelligence software (Win/Mac/Unix), which provides scientists a comprehensive “lab” environment for machine learning, knowledge modeling, analytics, simulation, and optimization — all based on the Bayesian network paradigm.
    BayesiaLab employs sophisticated learning algorithms to automatically generate structural models from data, making it a highly capable knowledge discovery tool. It enables applied researchers to explore high-dimensional problem dom

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