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    NIPS
    2000
    122views Information Technology» more  NIPS 2000»
    Rate-coded Restricted Boltzmann Machines for Face Recognition
    13 years 9 months ago
    Rate-coded Restricted Boltzmann Machines for Face Recognition
    Download  www.cs.toronto.edu
    We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
    Yee Whye Teh, Geoffrey E. Hinton
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    NIPS
    1997
    116views Information Technology» more  NIPS 1997»
    Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report
    13 years 9 months ago
    Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report
    Download  lsa.colorado.edu
    Singular value decomposition (SVD) can be viewed as a method for unsupervised training of a network that associates two classes of events reciprocally by linear connections throug...
    Thomas K. Landauer, Darrell Laham, Peter W. Foltz
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    AAAI
    1994
    123views Intelligent Agents» more  AAAI 1994»
    Using Knowledge Acquisition and Representation Tools to Support Scientific Communities
    13 years 9 months ago
    Using Knowledge Acquisition and Representation Tools to Support Scientific Communities
    Download  pages.cpsc.ucalgary.ca
    Widespread access to the Internet has led to the formation of geographically dispersed scientific communities collaborating through the network. The tools supporting such collabor...
    Brian R. Gaines, Mildred L. G. Shaw
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    DIMACS
    1996
    106views Theoretical Computer Science» more  DIMACS 1996»
    Model Checking and the Mu-calculus
    13 years 9 months ago
    Model Checking and the Mu-calculus
    Download  www.ccs.neu.edu
    There is a growing recognition of the need to apply formal mathematical methods in the design of \high con dence" computing systems. Such systems operate in safety critical co...
    E. Allen Emerson
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    UAI
    1996
    147views Artificial Intelligence» more  UAI 1996»
    An evaluation of structural parameters for probabilistic reasoning: Results on benchmark circuits
    13 years 9 months ago
    An evaluation of structural parameters for probabilistic reasoning: Results on benchmark circuits
    Download  www.ics.uci.edu
    Many algorithms for processing probabilistic networks are dependent on the topological properties of the problem's structure. Such algorithmse.g., clustering, conditioning ar...
    Yousri El Fattah, Rina Dechter
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