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    CEC
    2008
    IEEE
    118views Artificial Intelligence» more  CEC 2008»
    Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
    14 years 2 months ago
    Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
    Download  www.sumo.intec.ugent.be
    — Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
    Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...
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    LREC
    2008
    145views Education» more  LREC 2008»
    Borrowing Language Resources for Development of Automatic Speech Recognition for Low- and Middle-Density Languages
    13 years 9 months ago
    Borrowing Language Resources for Development of Automatic Speech Recognition for Low- and Middle-Density Languages
    Download  www.lrec-conf.org
    In this paper we describe an approach that both creates crosslingual acoustic monophone model sets for speech recognition tasks and objectively predicts their performance without ...
    Lynette Melnar, Chen Liu
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    ISLPED
    1999
    ACM
    236views Hardware» more  ISLPED 1999»
    Modeling and automating selection of guarding techniques for datapath elements
    14 years 4 days ago
    Modeling and automating selection of guarding techniques for datapath elements
    Download  www.cecs.uci.edu
    While guarded evaluation has proven an effective energy saving technique in arithmetic circuits, good methodologies do not exist for determining when and how to guard for maximal ...
    William E. Dougherty, Donald E. Thomas
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    ESANN
    2001
    129views Neural Networks» more  ESANN 2001»
    Penalized least squares, model selection, convex hull classes and neural nets
    13 years 9 months ago
    Penalized least squares, model selection, convex hull classes and neural nets
    Download  www.dice.ucl.ac.be
    We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...
    Gerald H. L. Cheang, Andrew R. Barron
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    ML
    2000
    ACM
    103views Machine Learning» more  ML 2000»
    Nonparametric Time Series Prediction Through Adaptive Model Selection
    13 years 7 months ago
    Nonparametric Time Series Prediction Through Adaptive Model Selection
    Download  webee.technion.ac.il
    We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
    Ron Meir
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