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    AUTOMATICA
    2007
    90views more  AUTOMATICA 2007»
    Stability analysis of discrete-time iterative learning control systems with interval uncertainty
    13 years 7 months ago
    Stability analysis of discrete-time iterative learning control systems with interval uncertainty
    Download  mechatronics.ece.usu.edu
    This paper presents a stability analysis of the iterative learning control (ILC) problem for discrete-time systems when the plant Markov parameters are subject to interval uncerta...
    Hyo-Sung Ahn, Kevin L. Moore, Yangquan Chen
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    CONSTRAINTS
    2008
    89views more  CONSTRAINTS 2008»
    A Reinforcement Learning Approach to Interval Constraint Propagation
    13 years 7 months ago
    A Reinforcement Learning Approach to Interval Constraint Propagation
    Download  www.crt.umontreal.ca
    When solving systems of nonlinear equations with interval constraint methods, it has often been observed that many calls to contracting operators do not participate actively to th...
    Frédéric Goualard, Christophe Jerman...
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    ICML
    1999
    IEEE
    469views Machine Learning» more  ICML 1999»
    AdaCost: Misclassification Cost-Sensitive Boosting
    14 years 8 months ago
    AdaCost: Misclassification Cost-Sensitive Boosting
    Download  www.weifan.info
    AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive boosting method. It uses the cost of misclassifications to update the training distribution on successive boo...
    Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip...
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    EAAI
    2006
    161views more  EAAI 2006»
    Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
    13 years 7 months ago
    Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
    Download  www-scf.usc.edu
    Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
    Dongrui Wu, Woei Wan Tan
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    KDD
    1997
    ACM
    109views Data Mining» more  KDD 1997»
    Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning
    13 years 11 months ago
    Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning
    Download  www.aaai.org
    Djamel A. Zighed, Ricco Rakotomalala, Fabien Fesch...
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