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    IJON
    2007
    88views more  IJON 2007»
    Information maximization in face processing
    13 years 7 months ago
    Information maximization in face processing
    Download  mplab.ucsd.edu
    This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
    Marian Stewart Bartlett
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    SIGIR
    2003
    ACM
    126views Information Technology» more  SIGIR 2003»
    A maximal figure-of-merit learning approach to text categorization
    14 years 19 days ago
    A maximal figure-of-merit learning approach to text categorization
    Download  www.cs.cmu.edu
    A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
    Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
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    DSS
    2006
    91views more  DSS 2006»
    Matching information security vulnerabilities to organizational security profiles: a genetic algorithm approach
    13 years 7 months ago
    Matching information security vulnerabilities to organizational security profiles: a genetic algorithm approach
    Download  seas.mgmt.purdue.edu
    Organizations are making substantial investments in information security to reduce the risk presented by vulnerabilities in their information technology (IT) infrastructure. Howev...
    Mukul Gupta, Jackie Rees, Alok R. Chaturvedi, Jie ...
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    JMLR
    2012
    230views Programming Languages» more  JMLR 2012»
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    11 years 9 months ago
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    Download  www.cs.cmu.edu
    The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
    Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
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    NIPS
    2008
    138views Information Technology» more  NIPS 2008»
    Learning Taxonomies by Dependence Maximization
    13 years 8 months ago
    Learning Taxonomies by Dependence Maximization
    Download  www.kyb.mpg.de
    We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
    Matthew B. Blaschko, Arthur Gretton
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