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    » Reducing input parameter uncertainty for simulations
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    WSC
    2000
    177views Modeling And Simulation» more  WSC 2000»
    Model abstraction for discrete event systems using neural networks and sensitivity information
    13 years 9 months ago
    Model abstraction for discrete event systems using neural networks and sensitivity information
    Download  www.informs-sim.org
    STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
    Christos G. Panayiotou, Christos G. Cassandras, We...
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    ICDM
    2010
    IEEE
    128views Data Mining» more  ICDM 2010»
    User-Based Active Learning
    13 years 5 months ago
    User-Based Active Learning
    Download  know-center.tugraz.at
    Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
    Christin Seifert, Michael Granitzer
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    INFORMATICALT
    2006
    129views more  INFORMATICALT 2006»
    On the Identification of Hammerstein Systems Having Saturation-like Functions with Positive Slopes
    13 years 7 months ago
    On the Identification of Hammerstein Systems Having Saturation-like Functions with Positive Slopes
    Download  www.mii.lt
    Abstract. The aim of the given paper is the development of an approach for parametric identification of Hammerstein systems with piecewise linear nonlinearities, i.e., when the sat...
    Rimantas Pupeikis
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    ENGL
    2008
    102views more  ENGL 2008»
    Adaptive Sliding Mode Control with PID Tuning for Uncertain Systems
    13 years 7 months ago
    Adaptive Sliding Mode Control with PID Tuning for Uncertain Systems
    Download  www.engineeringletters.com
    This paper proposes a novel adaptive sliding mode control with PID tuning method for a class of uncertain systems. The goal is to achieve system robustness against parameter variat...
    T. C. Kuo, Y. J. Huang, C. Y. Chen, C. H. Chang
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    ANOR
    2007
    92views more  ANOR 2007»
    Portfolio selection with probabilistic utility
    13 years 7 months ago
    Portfolio selection with probabilistic utility
    Download  www.pik-potsdam.de
    We present a novel portfolio selection technique, which replaces the traditional maximization of the utility function with a probabilistic approach inspired by statistical physics....
    Robert Marschinski, Pietro Rossi, Massimo Tavoni, ...
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