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    EDM
    2010
    113views Data Mining» more  EDM 2010»
    Using multiple Dirichlet distributions to improve parameter plausibility
    13 years 6 months ago
    Using multiple Dirichlet distributions to improve parameter plausibility
    Download  educationaldatamining.org
    Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
    Yue Gong, Joseph E. Beck, Neil T. Heffernan
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    EDM
    2009
    147views Data Mining» more  EDM 2009»
    Using Dirichlet priors to improve model parameter plausibility
    13 years 3 months ago
    Using Dirichlet priors to improve model parameter plausibility
    Download  www.educationaldatamining.org
    Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
    Dovan Rai, Yue Gong, Joseph Beck
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    ICASSP
    2009
    IEEE
    176views Signal Processing» more  ICASSP 2009»
    Dirichlet process mixture models with multiple modalities
    13 years 9 months ago
    Dirichlet process mixture models with multiple modalities
    Download  people.ee.duke.edu
    The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
    John William Paisley, Lawrence Carin
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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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    KDD
    2007
    ACM
    237views Data Mining» more  KDD 2007»
    Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
    14 years 5 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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