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  • neural network; genetic algorithm; finite element; mobile robot ( Subthemes )
  •          reinforcement learning; mobile robot; markov decision; decision process ( Subthemes )
  •                  mobile robot; reinforcement learning; markov decision; decision process ( Subthemes )
  •                          turbo code; belief propagation; iterative decoding; belief network ( Subthemes )
  • PROBABILISTIC REASONING IN INTELLIGENT SYSTEMS: NETWORKS OF PLAUSIBLE INFERENCE - PEARL  
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    Date 
    Refs | Theme tree | Cited by 1247 This paper is cited in the following contexts

    Citation List: key=1014253
     

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    1) 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   (Hub Citation)

    2) PROBABILISTIC HORN ABDUCTION AND BAYESIAN NETWORKS  
    By David Poole
    Date  August 1998
    Refs | Theme tree | Cited by 116 |  CiteSeer  

    3) 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   (Authority Citation)

    4) GOOD ERROR-CORRECTING CODES BASED ON VERY SPARSE MATRICES  
    By David J. C. Mackay
    Date  August 1999
    Refs | Theme tree | Cited by 82 |  CiteSeer  

    5) AN INTRODUCTION TO VARIATIONAL METHODS FOR GRAPHICAL METHODS  
    By
    Date  December 1998
    Refs | Theme tree | Cited by 92 |  CiteSeer   (Authority Citation)

    6) INDUCTION OF SELECTIVE BAYESIAN CLASSIFIERS  
    By Pat Langley    Stephanie Sage
    Date  April 1997
    Refs | Theme tree | Cited by 65 |  CiteSeer  

    7) A TUTORIAL ON LEARNING BAYESIAN NETWORKS  
    By David Heckerman
    Date  October 1995
    Refs | Theme tree | Cited by 63 |  CiteSeer  

    8) GENERATING BAYESIAN NETWORKS FROM PROBABILITY LOGIC KNOWLEDGE BASES  
    By Peter Haddawy
    Date  November 1993
    Refs | Theme tree | Cited by 33 |  CiteSeer   (Authority Citation)

    9) INTERPRETATION AS ABDUCTION  
    By Jerry R. Hobbs    Mark Stickel    Paul Martin
    Date  October 2001
    Refs | Theme tree | Cited by 237 |  CiteSeer  

    10) 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  

    11) LEARNING BAYESIAN BELIEF NETWORKS - AN APPROACH BASED ON THE MDL PRINCIPLE  
    By Fahiem Bacchus    Wai Lam
    Date  August 1998
    Refs | Theme tree | Cited by 49 |  CiteSeer   (Authority Citation)

    12) NEAR SHANNON LIMIT PERFORMANCE OF LOW DENSITY PARITY CHECK CODES  
    By David J. C. Mackay    Radford M. Neal
    Date  August 1996
    Refs | Theme tree | Cited by 46 |  CiteSeer  

    13) GOOD CODES BASED ON VERY SPARSE MATRICES  
    By David J. C. Mackay    Radford M. Neal
    Date  September 1996
    Refs | Theme tree | Cited by 27 |  CiteSeer  

    14) THE HELMHOLTZ MACHINE  
    By Geoffrey E Hinton    Peter Dayan    Radford M Neal    Richard S Zemel
    Date  August 2000
    Refs | Theme tree | Cited by 73 |  CiteSeer  

    15) LOCAL LEARNING IN PROBABILISTIC NETWORKS WITH HIDDEN VARIABLES  
    By Daphne Koller    John Binder    Keiji Kanazawa
    Date  July 1995
    Refs | Theme tree | Cited by 55 |  CiteSeer  

    16) AVERAGE-CASE ANALYSIS OF A SEARCH ALGORITHM FOR ESTIMATING PRIOR AND POSTERIOR PROBABILITIES IN BAYESIAN NETWORKS WITH EXTREME PROBABILITIES  
    By David Poole
    Date  September 1993
    Refs | Theme tree | Cited by 18 |  CiteSeer   (Authority Citation)

    17) A SEMANTICAL FRAMEWORK FOR SUPPORTING SUBJECTIVE AND CONDITIONAL PROBABILITIES IN DEDUCTIVE DATABASES  
    By A. V. Williams Building    Raymond Ng V. S. Subrahmanian
    Date  May 1996
    Refs | Theme tree | Cited by 52 |  CiteSeer  

    18) AUTOMATIC SYMBOLIC TRAFFIC SCENE ANALYSIS USING BELIEF NETWORKS  
    By B. Rao    D. Koller    G. Ogasawara    J. Malik    J. Weber    S. Russell    T. Huang
    Date  October 1995
    Refs | Theme tree | Cited by 34 |  CiteSeer   (Authority Citation)

    19) A UNIFYING REVIEW OF LINEAR GAUSSIAN MODELS  
    By Sam Roweis    Zoubin Ghahramani
    Date  August 1999
    Refs | Theme tree | Cited by 63 |  CiteSeer   (Authority Citation)

    20) ANYTIME DEDUCTION FOR PROBABILISTIC LOGIC  
    By Alan M. Frisch    And Peter Haddawy
    Date  April 1994
    Refs | Theme tree | Cited by 43 |  CiteSeer   (Authority Citation)

    21) MULTIPLY SECTIONED BAYESIAN NETWORKS FOR NEUROMUSCULAR DIAGNOSIS  
    By A. Eisen    D. Poole    M. P. Beddoes    Y. Xiang
    Date  July 1997
    Refs | Theme tree | Cited by 13 |  CiteSeer   (Authority Citation)

    22) USING CAUSAL INFORMATION AND LOCAL MEASURES TO LEARN BAYESIAN NETWORKS  
    By Wai Lam
    Date  June 2000
    Refs | Theme tree | Cited by 25 |  CiteSeer  

    23) PROBABILISTIC DEDUCTION WITH CONDITIONAL CONSTRAINTS OVER BASIC EVENTS  
    By Thomas Lukasiewicz
    Date  May 1999
    Refs | Theme tree | Cited by 31 |  CiteSeer  

    24) THE AUTOMATED MAPPING OF PLANS FOR PLAN RECOGNITION  
    By Edmund H. Durfee    Marcus J. Huber    Michael P. Wellman
    Date  May 1994
    Refs | Theme tree | Cited by 28 |  CiteSeer  

    25) LEARNING POSSIBILISTIC NETWORKS FROM DATA  
    By Jorg Gebhardt    Rudolf Kruse
    Date  December 1995
    Refs | Theme tree | Cited by 15 |  CiteSeer   (Authority Citation)

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