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  • neural network; genetic algorithm; finite element; mobile robot ( Subthemes )
  •          neural network; genetic algorithm; genetic programming; support vector ( Subthemes )
  •                  source separation; independent component; blind source; component analysis ( Subthemes )
  •                          blind separation; natural gradient; source separation; multichannel blind ( Subthemes )
  • LEARNING INTERNAL REPRESENTATIONS BY ERROR PROPAGATION - RUMELHART, HINTON, WILLIAMS  
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    Refs | Theme tree | Cited by 1339 This paper is cited in the following contexts

    Citation List: key=1001839
     

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    1) FINDING STRUCTURE IN TIME  
    By Jeffrey Elman
    Date  November 1998
    Refs | Theme tree | Cited by 573 |  CiteSeer   (Hub and Authority Citation)

    2) THE CASCADE-CORRELATION LEARNING ARCHITECTURE  
    By Christian Lebiere    Scott E. Fahlman
    Date  August 1991
    Refs | Theme tree | Cited by 331 |  CiteSeer   (Authority Citation)

    3) A LEARNING ALGORITHM FOR CONTINUALLY RUNNING FULLY RECURRENT NEURAL NETWORKS  
    By David Zipser    Ronald J. Williams
    Date  August 1998
    Refs | Theme tree | Cited by 245 |  CiteSeer  

    4) AN EMPIRICAL STUDY OF LEARNING SPEED IN BACK-PROPAGATION NETWORKS  
    By Scott E. Fahlman
    Date  December 1998
    Refs | Theme tree | Cited by 148 |  CiteSeer   (Authority Citation)

    5) REFINEMENT OF APPROXIMATE DOMAIN THEORIES BY KNOWLEDGE-BASED NEURAL NETWORKS  
    By Geoffrey G. Towell    Jude W. Shavlik    Michiel O. Noordewier
    Date  December 1998
    Refs | Theme tree | Cited by 121 |  CiteSeer  

    6) A SCALED CONJUGATE GRADIENT ALGORITHM FOR FAST SUPERVISED LEARNING  
    By Martin F. M&
    Date  December 1990
    Refs | Theme tree | Cited by 46 |  CiteSeer   (Authority Citation)

    7) EXPLANATION-BASED NEURAL NETWORK LEARNING FOR ROBOT CONTROL  
    By Sebastian B. Thrun    Tom M. Mitchell
    Date  September 1998
    Refs | Theme tree | Cited by 46 |  CiteSeer  

    8) FORWARD MODELS: SUPERVISED LEARNING WITH A DISTAL TEACHER  
    By David E. Rumelhart    Michael I. Jordan
    Date  August 1998
    Refs | Theme tree | Cited by 100 |  CiteSeer   (Authority Citation)

    9) LEARNING LONG-TERM DEPENDENCIES WITH GRADIENT DESCENT IS DIFFICULT  
    By Paolo Frasconiz    Patrice Simardy    Yoshua Bengioy
    Date  November 1993
    Refs | Theme tree | Cited by 115 |  CiteSeer   (Authority Citation)

    10) LEARNING AND SEQUENTIAL DECISION MAKING  
    By Andrew G. Barto    C. J. C. H. Watkins    R. S. Sutton
    Date  July 1993
    Refs | Theme tree | Cited by 115 |  CiteSeer  

    11) SOLVING MULTICLASS LEARNING PROBLEMS VIA ERROR-CORRECTING OUTPUT CODES  
    By Ghulum Bakiri    Thomas G. Dietterich
    Date  July 1995
    Refs | Theme tree | Cited by 127 |  CiteSeer  

    12) ON THE PROBLEM OF LOCAL MINIMA IN BACKPROPAGATION  
    By A. Tesi    M. Gori
    Date  September 1994
    Refs | Theme tree | Cited by 34 |  CiteSeer   (Authority Citation)

    13) NEURAL NET ARCHITECTURES FOR TEMPORAL SEQUENCE PROCESSING  
    By Michael C. Mozer
    Date  February 1993
    Refs | Theme tree | Cited by 73 |  CiteSeer  

    14) GLOBAL OPTIMIZATION OF A NEURAL NETWORK - HIDDEN MARKOV MODEL HYBRID  
    By Giovanni Flammia    Ralf Kompe    Renato De Mori    Yoshua Bengio
    Date  November 1995
    Refs | Theme tree | Cited by 45 |  CiteSeer   (Authority Citation)

    15) THEORY REFINEMENT COMBINING ANALYTICAL AND EMPIRICAL METHODS  
    By Dirk Ourston    Raymond J. Mooney
    Date  March 1992
    Refs | Theme tree | Cited by 73 |  CiteSeer   (Authority Citation)

    16) SUPPORT-VECTOR NETWORKS  
    By And Vladimir Vapnik    Corinna Cortes
    Date  February 2000
    Refs | Theme tree | Cited by 353 |  CiteSeer  

    17) KNOWLEDGE-BASED ARTIFICIAL NEURAL NETWORKS  
    By Geoffrey G. Towell    Jude W. Shavlik
    Date  November 1994
    Refs | Theme tree | Cited by 77 |  CiteSeer  

    18) INTEGRATING INDUCTIVE NEURAL NETWORK LEARNING AND EXPLANATION-BASED LEARNING  
    By Sebastian B. Thrun    Tom M. Mitchell
    Date  September 1998
    Refs | Theme tree | Cited by 31 |  CiteSeer  

    19) HANDWRITTEN DIGIT RECOGNITION WITH A BACK-PROPAGATION NETWORK  
    By B. Boser    D. Henderson    J. S. Denker    L. D. Jackel    R. E. Howard    W. Hubbard    Y. Le Cun
    Date  July 1998
    Refs | Theme tree | Cited by 83 |  CiteSeer   (Authority Citation)

    20) CONSTRUCTIVE NEURAL NETWORK LEARNING ALGORITHMS FOR MULTI-CATEGORY REAL-VALUED PATTERN CLASSIFICATION  
    By Jihoon Yang    Rajesh Parekh    Vasant Honavar
    Date  June 1997
    Refs | Theme tree | Cited by 27 |  CiteSeer  

    21) AN EFFICIENT GRADIENT-BASED ALGORITHM FOR ON-LINE TRAINING OF RECURRENT NETWORK TRAJECTORIES  
    By Jing Peng    Ronald J. Williams
    Date  August 1998
    Refs | Theme tree | Cited by 60 |  CiteSeer  

    22) GENERATIVE LEARNING STRUCTURES AND PROCESSES FOR GENERALIZED CONNECTIONIST NETWORKS  
    By Leonard Uhr    Vasant Honavar
    Date  January 1991
    Refs | Theme tree | Cited by 27 |  CiteSeer  

    23) AN APPLICATION OF RECURRENT NETS TO PHONE PROBABILITY ESTIMATION  
    By Tony Robinson
    Date  January 1997
    Refs | Theme tree | Cited by 80 |  CiteSeer  

    24) SPEED UP LEARNING AND NETWORK OPTIMIZATION WITH EXTENDED BACK PROPAGATION  
    By Antonina Starita    Ro Sperduti
    Date  February 1992
    Refs | Theme tree | Cited by 21 |  CiteSeer   (Authority Citation)

    25) LEARNING AND DEVELOPMENT IN NEURAL NETWORKS: THE IMPORTANCE OF STARTING SMALL  
    By Jeffrey L. Elman
    Date  January 1970
    Refs | Theme tree | Cited by 73 |  CiteSeer  

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