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    ICMLA
    2008
    138views Machine Learning» more  ICMLA 2008»
    Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
    14 years 11 months ago
    Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
    Download  hal.archives-ouvertes.fr
    Independent Factor Analysis (IFA) is a well known method used to recover independent components from their linear observed mixtures without any knowledge on the mixing process. Su...
    Etienne Côme, Zohra Leila Cherfi, Latifa Ouk...
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    ACL
    2009
    157views Computational Linguistics» more  ACL 2009»
    A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
    14 years 7 months ago
    A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
    Download  wing.comp.nus.edu.sg
    Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
    Tao Li, Yi Zhang 0005, Vikas Sindhwani
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    EDM
    2010
    113views Data Mining» more  EDM 2010»
    Using multiple Dirichlet distributions to improve parameter plausibility
    14 years 11 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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    VISAPP
    2010
    271views Computer Vision» more  VISAPP 2010»
    Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
    14 years 7 months ago
    Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
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    phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
    Ali Mohammad-Djafari
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    EDM
    2009
    147views Data Mining» more  EDM 2009»
    Using Dirichlet priors to improve model parameter plausibility
    14 years 7 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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