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    » Model Selection via Bilevel Optimization
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    WSC
    2007
    135views Modeling And Simulation» more  WSC 2007»
    Implications of heavy tails on simulation-based ordinal optimization
    13 years 10 months ago
    Implications of heavy tails on simulation-based ordinal optimization
    Download  www.columbia.edu
    We consider the problem of selecting the best system using simulation-based ordinal optimization. This problem has been studied mostly in the context of light-tailed distributions...
    Mark Broadie, Minsup Han, Assaf Zeevi
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    ISNN
    2005
    Springer
    171views Neural Networks» more  ISNN 2005»
    Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error
    14 years 1 months ago
    Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error
    Download  ttic.uchicago.edu
    In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
    Liefeng Bo, Ling Wang, Licheng Jiao
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    ICML
    1997
    IEEE
    155views Machine Learning» more  ICML 1997»
    Characterizing the generalization performance of model selection strategies
    14 years 8 months ago
    Characterizing the generalization performance of model selection strategies
    Download  www.cis.upenn.edu
    Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
    Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
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    WSC
    2008
    168views Modeling And Simulation» more  WSC 2008»
    Automated execution of simulation studies demonstrated via a simulation of a car
    13 years 10 months ago
    Automated execution of simulation studies demonstrated via a simulation of a car
    Download  www.informs-sim.org
    In the automotive area, a huge number of different technologies were developed in the last couples of years. The car manufacturers have to meet the challenge of selecting the most...
    Sven Dominka, Eduard Broecker, Frank Schiller
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    ICCAD
    2007
    IEEE
    98views Hardware» more  ICCAD 2007»
    Device-circuit co-optimization for mixed-mode circuit design via geometric programming
    14 years 4 months ago
    Device-circuit co-optimization for mixed-mode circuit design via geometric programming
    Download  www.ee.ucla.edu
    Modern processing technologies offer a number of types of devices such as high-VT , low-VT , thick-oxide, etc. in addition to the nominal transistor in order to meet system perfor...
    Jintae Kim, Ritesh Jhaveri, Jason Woo, Chih-Kong K...
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