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    IDEAL
    2003
    Springer
    113views Intelligent Agents» more  IDEAL 2003»
    A Guided Monte Carlo Approach to Optimization Problems
    16 years 19 days ago
    A Guided Monte Carlo Approach to Optimization Problems
    Download  www.phys.sinica.edu.tw
    C. I. Chou, R. S. Han, T. K. Lee, S. P. Li
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    79
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    CORR
    2008
    Springer
    52views Education» more  CORR 2008»
    Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method
    15 years 7 months ago
    Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method
    Download  www.stanford.edu
    Dev G. Rajnarayan, David Wolpert
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    CORR
    2007
    Springer
    83views Education» more  CORR 2007»
    Parametric Learning and Monte Carlo Optimization
    15 years 7 months ago
    Parametric Learning and Monte Carlo Optimization
    Download  www.stanford.edu
    David H. Wolpert, Dev G. Rajnarayan
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    JCC
    1998
    46views more  JCC 1998»
    Optimizing efficiency of perturbative Monte Carlo method
    15 years 7 months ago
    Optimizing efficiency of perturbative Monte Carlo method
    Download  truong.hec.utah.edu
    Tom J. Evans, Thanh N. Truong
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    210
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    VMV
    2001
    108views Visualization» more  VMV 2001»
    A Theoretical Comparison of Monte Carlo Radiosity Algorithms
    15 years 8 months ago
    A Theoretical Comparison of Monte Carlo Radiosity Algorithms
    Download  wwwvis.informatik.uni-stuttgart.de
    In this paper, we present a theoretical analysis of the error with three basic Monte Carlo radiosity algorithms, based on continuous collision shooting random walks, discrete coll...
    Philippe Bekaert, Hans-Peter Seidel
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