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    ISMB
    1993
    113views Computational Biology» more  ISMB 1993»
    Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
    13 years 6 months ago
    Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
    Download  reference.kfupm.edu.sa
    A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
    Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
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    CSDA
    2007
    126views more  CSDA 2007»
    A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
    13 years 5 months ago
    A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
    Download  www4.stat.ncsu.edu
    This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
    Yongqiang Tang, Subhashis Ghosal
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    ICDM
    2007
    IEEE
    184views Data Mining» more  ICDM 2007»
    Bayesian Folding-In with Dirichlet Kernels for PLSI
    13 years 11 months ago
    Bayesian Folding-In with Dirichlet Kernels for PLSI
    Download  users.informatik.uni-halle.de
    Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
    Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
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    JMLR
    2010
    184views more  JMLR 2010»
    Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
    13 years 2 days ago
    Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
    Download  jmlr.csail.mit.edu
    In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
    Yener Ülker, Bilge Günsel, Ali Taylan Ce...
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    TIP
    2008
    163views more  TIP 2008»
    Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
    13 years 5 months ago
    Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
    Download  www.cns.nyu.edu
    We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
    David K. Hammond, Eero P. Simoncelli
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