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    TR
    2010
    140views Hardware» more  TR 2010»
    Modeling Failure Modes for Residual Life Prediction Using Stochastic Filtering Theory
    13 years 2 months ago
    Modeling Failure Modes for Residual Life Prediction Using Stochastic Filtering Theory
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    This paper reports on a theoretical Bayesian modeling development for residual life prediction in the context of condition-based maintenance. At each monitoring point during a comp...
    Matthew J. Carr, Wenbin Wang
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    CSDA
    2010
    165views more  CSDA 2010»
    A two-component Weibull mixture to model early and late mortality in a Bayesian framework
    13 years 7 months ago
    A two-component Weibull mixture to model early and late mortality in a Bayesian framework
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    A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
    Alessio Farcomeni, Alessandra Nardi
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    ICCV
    2005
    IEEE
    208views Computer Vision» more  ICCV 2005»
    Bayesian Body Localization Using Mixture of Nonlinear Shape Models
    14 years 1 months ago
    Bayesian Body Localization Using Mixture of Nonlinear Shape Models
    Download  www.cs.cmu.edu
    We present a 2D model-based approach to localizing human body in images viewed from arbitrary and unknown angles. The central component is a statistical shape representation of th...
    Jiayong Zhang, Robert T. Collins, Yanxi Liu
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    CSDA
    2010
    122views more  CSDA 2010»
    A comparison of design and model selection methods for supersaturated experiments
    13 years 7 months ago
    A comparison of design and model selection methods for supersaturated experiments
    Download  eprints.soton.ac.uk
    Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...
    Christopher J. Marley, David C. Woods
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    JCB
    2007
    191views more  JCB 2007»
    Bayesian Haplotype Inference via the Dirichlet Process
    13 years 7 months ago
    Bayesian Haplotype Inference via the Dirichlet Process
    Download  www.cs.berkeley.edu
    The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
    Eric P. Xing, Michael I. Jordan, Roded Sharan
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