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  • neural network; genetic algorithm; finite element; mobile robot ( Subthemes )
  •          neural network; genetic algorithm; genetic programming; support vector ( Subthemes )
  •                  image reconstruction; speech recognition; random field; em algorithm ( Subthemes )
  •                          image reconstruction; random field; em algorithm; markov random ( Subthemes )
  • MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA THE EM ALGORITHM - DEMPSTER, LAIRD, RUBIN  
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    Date 
    Refs | Theme tree | Cited by 1643 This paper is cited in the following contexts

    Citation List: key=1000828
     

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    1) HIERARCHICAL MIXTURES OF EXPERTS AND THE EM ALGORITHM  
    By Michael I. Jordan    Robert A. Jacobs
    Date  May 1995
    Refs | Theme tree | Cited by 389 |  CiteSeer   (Hub Citation)

    2) LEARNING BAYESIAN NETWORKS: THE COMBINATION OF KNOWLEDGE AND STATISTICAL DATA  
    By Dan Geiger    David Heckerman    David M. Chickering
    Date  February 1995
    Refs | Theme tree | Cited by 271 |  CiteSeer  

    3) A NEW VIEW OF THE EM ALGORITHM THAT JUSTIFIES INCREMENTAL AND OTHER VARIANTS  
    By Geoffrey E. Hinton    Radford M. Neal
    Date  February 1993
    Refs | Theme tree | Cited by 82 |  CiteSeer   (Authority Citation)

    4) FACTORIAL HIDDEN MARKOV MODELS  
    By Michael I. Jordan    Zoubin Ghahramani
    Date  June 1995
    Refs | Theme tree | Cited by 107 |  CiteSeer   (Authority Citation)

    5) MULTISCALE ANALYSIS FOR INTENSITY AND DENSITY ESTIMATION  
    By
    Date  May 2002
    Refs | Theme tree | Cited by 103 |  CiteSeer  

    6) OPERATIONS FOR LEARNING WITH GRAPHICAL MODELS  
    By Wray L. Buntine
    Date  January 1999
    Refs | Theme tree | Cited by 102 |  CiteSeer  

    7) SUPERVISED LEARNING FROM INCOMPLETE DATA VIA AN EM APPROACH  
    By Michael I. Jordan    Zoubin Ghahramani
    Date  August 1996
    Refs | Theme tree | Cited by 58 |  CiteSeer   (Authority Citation)

    8) MIXTURES OF PROBABILISTIC PRINCIPAL COMPONENT ANALYSERS  
    By Christopher M. Bishop
    Date  February 1999
    Refs | Theme tree | Cited by 92 |  CiteSeer   (Authority Citation)

    9) DISTRIBUTIONAL CLUSTERING OF ENGLISH WORDS  
    By Fernando Pereira    Lillian Lee    Naftali Tishby
    Date  May 1996
    Refs | Theme tree | Cited by 125 |  CiteSeer   (Authority Citation)

    10) PROBABILISTIC INDEPENDENCE NETWORKS FOR HIDDEN MARKOV PROBABILITY MODELS  
    By David Heckerman    Michael I. Jordan    Padhraic Smyth
    Date  January 1970
    Refs | Theme tree | Cited by 83 |  CiteSeer  

    11) MAXIMUM A POSTERIORI ESTIMATION FOR MULTIVARIATE GAUSSIAN MIXTURE OBSERVATIONS OF MARKOV CHAINS  
    By And Chin-hui Lee    Jean-luc Gauvain
    Date  July 2002
    Refs | Theme tree | Cited by 100 |  CiteSeer   (Authority Citation)

    12) TEXT CLASSIFICATION FROM LABELED AND UNLABELED DOCUMENTS USING EM  
    By Andrew Mccallum    Kamal Nigam    Tom Mitchell
    Date  October 1998
    Refs | Theme tree | Cited by 71 |  CiteSeer   (Authority Citation)

    13) A TUTORIAL ON LEARNING WITH BAYESIAN NETWORKS  
    By David Heckerman
    Date  February 2002
    Refs | Theme tree | Cited by 144 |  CiteSeer  

    14) SPACE-ALTERNATING GENERALIZED EXPECTATION-MAXIMIZATION ALGORITHM  
    By Alfred O. Hero    Jeffrey A. Fessler
    Date  May 1997
    Refs | Theme tree | Cited by 52 |  CiteSeer   (Authority Citation)

    15) EFFICIENT APPROXIMATIONS FOR THE MARGINAL LIKELIHOOD OF BAYESIAN NETWORKS WITH HIDDEN VARIABLES  
    By David Heckerman    David Maxwell Chickering
    Date  May 1997
    Refs | Theme tree | Cited by 44 |  CiteSeer   (Authority Citation)

    16) A STATISTICAL APPROACH TO MACHINE TRANSLATION  
    By A. Della Pietra    D. Lafferty    Jelinek John    John Cocke Stephen    Paul S. Roossin    Peter F. Brown    Pietra Fredrick    Robert L. Mercer    Vincent J. Della
    Date  February 2000
    Refs | Theme tree | Cited by 166 |  CiteSeer  

    17) A PROBABILISTIC APPROACH TO CONCURRENT MAPPING AND LOCALIZATION FOR MOBILE ROBOTS  
    By Henry Hexmoor    Maja Mataric
    Date  September 1998
    Refs | Theme tree | Cited by 118 |  CiteSeer  

    18) HIDDEN MARKOV MODELS IN COMPUTATIONAL BIOLOGY: APPLICATIONS TO PROTEIN MODELING  
    By Anders Krogh    I. Saira Mian    Kimmen Sjolander    Michael Brown
    Date  September 1993
    Refs | Theme tree | Cited by 139 |  CiteSeer  

    19) EXPLOITING TRACTABLE SUBSTRUCTURES IN INTRACTABLE NETWORKS  
    By Lawrence K. Saul    Michael I. Jordan
    Date  January 1996
    Refs | Theme tree | Cited by 53 |  CiteSeer   (Authority Citation)

    20) INFORMATION GEOMETRY OF THE EM AND EM ALGORITHMS FOR NEURAL NETWORKS  
    By Shun-ichi Amari
    Date  April 1994
    Refs | Theme tree | Cited by 49 |  CiteSeer   (Authority Citation)

    21) ON CONVERGENCE PROPERTIES OF THE EM ALGORITHM FOR GAUSSIAN MIXTURES  
    By Lei Xu    Michael I. Jordan
    Date  January 1970
    Refs | Theme tree | Cited by 41 |  CiteSeer   (Authority Citation)

    22) LEARNING TOPOLOGICAL MAPS WITH WEAK LOCAL ODOMETRIC INFORMATION  
    By Hagit Shatkay    Leslie Pack Kaelbling
    Date  October 1997
    Refs | Theme tree | Cited by 53 |  CiteSeer  

    23) ADAPTIVE PROBABILISTIC NETWORKS WITH HIDDEN VARIABLES  
    By Daphne Koller    John Binder    Padhraic Smyth    Stuart Russell
    Date  August 1997
    Refs | Theme tree | Cited by 66 |  CiteSeer   (Authority Citation)

    24) GTM: THE GENERATIVE TOPOGRAPHIC MAPPING  
    By Christopher K. I. Williams    Christopher M. Bishop
    Date  April 1997
    Refs | Theme tree | Cited by 79 |  CiteSeer  

    25) AN INPUT OUTPUT HMM ARCHITECTURE  
    By Paolo Frasconi    Yoshua Bengio
    Date  January 1999
    Refs | Theme tree | Cited by 40 |  CiteSeer   (Authority Citation)

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