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    KDD
    2010
    ACM
    326views Data Mining» more  KDD 2010»
    Document clustering via dirichlet process mixture model with feature selection
    14 years 7 months ago
    Document clustering via dirichlet process mixture model with feature selection
    Download  math.nankai.edu.cn
    One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
    Guan Yu, Ruizhang Huang, Zhaojun Wang
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    CORR
    2010
    Springer
    168views Education» more  CORR 2010»
    A Bayesian Review of the Poisson-Dirichlet Process
    14 years 9 months ago
    A Bayesian Review of the Poisson-Dirichlet Process
    Download  eprints.pascal-network.org
    The two parameter Poisson-Dirichlet process is also known as the PitmanYor Process and related to the Chinese Restaurant Process, is a generalisation of the Dirichlet Process, and...
    Wray L. Buntine, Marcus Hutter
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    JMLR
    2010
    150views more  JMLR 2010»
    Supervised Dimension Reduction Using Bayesian Mixture Modeling
    14 years 4 months ago
    Supervised Dimension Reduction Using Bayesian Mixture Modeling
    Download  jmlr.csail.mit.edu
    We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
    Kai Mao, Feng Liang, Sayan Mukherjee
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    KDD
    2007
    ACM
    237views Data Mining» more  KDD 2007»
    Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
    15 years 10 months ago
    Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
    Download  www.r.dl.itc.u-tokyo.ac.jp
    Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
    Issei Sato, Hiroshi Nakagawa
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    SDM
    2009
    SIAM
    394views Data Mining» more  SDM 2009»
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    15 years 6 months ago
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    Download  www.cs.iastate.edu
    Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
    Oksana Yakhnenko, Vasant Honavar
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