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    » Bayesian Haplotype Inference via the Dirichlet Process
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    ICML
    2006
    IEEE
    137views Machine Learning» more  ICML 2006»
    Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture
    14 years 5 months ago
    Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture
    Download  www.gatsby.ucl.ac.uk
    Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Ye...
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    JCB
    2007
    191views more  JCB 2007»
    Bayesian Haplotype Inference via the Dirichlet Process
    13 years 4 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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    JMLR
    2010
    156views more  JMLR 2010»
    Classification with Incomplete Data Using Dirichlet Process Priors
    12 years 11 months ago
    Classification with Incomplete Data Using Dirichlet Process Priors
    Download  people.ee.duke.edu
    A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
    Chunping Wang, Xuejun Liao, Lawrence Carin, David ...
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    ICML
    2007
    IEEE
    188views Machine Learning» more  ICML 2007»
    Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
    14 years 5 months ago
    Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
    Download  www.machinelearning.org
    A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
    Kai Ni, Lawrence Carin, David B. Dunson
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    JMLR
    2010
    169views more  JMLR 2010»
    Matrix-Variate Dirichlet Process Mixture Models
    12 years 11 months ago
    Matrix-Variate Dirichlet Process Mixture Models
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    We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
    Zhihua Zhang, Guang Dai, Michael I. Jordan
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