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    AUTOMATICA
    1999
    145views more  AUTOMATICA 1999»
    Control of systems integrating logic, dynamics, and constraints
    14 years 9 months ago
    Control of systems integrating logic, dynamics, and constraints
    Download  www.seas.upenn.edu
    This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
    Alberto Bemporad, Manfred Morari
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    CGF
    1999
    79views more  CGF 1999»
    A Practical Analysis of Clustering Strategies for Hierarchical Radiosity
    14 years 9 months ago
    A Practical Analysis of Clustering Strategies for Hierarchical Radiosity
    Download  artis.imag.fr
    The calculation of radiant energy balance in complex scenes has been made possible by hierarchical radiosity methods based on clustering mechanisms. Although clustering offers an ...
    Jean-Marc Hasenfratz, Cyrille Damez, Franço...
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    JCC
    2002
    74views more  JCC 2002»
    Determination of the effective dielectric constant from the accurate solution of the Poisson equation
    14 years 9 months ago
    Determination of the effective dielectric constant from the accurate solution of the Poisson equation
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    : Constant dielectric (CD) and distance-dependent dielectric (DDD) functions are the most popular and widespread in the Molecular Mechanics simulations of large molecular systems. ...
    Vladislav Vasilyev
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    ML
    2002
    ACM
    135views Machine Learning» more  ML 2002»
    Bayesian Treed Models
    14 years 9 months ago
    Bayesian Treed Models
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    When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...
    Hugh A. Chipman, Edward I. George, Robert E. McCul...
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    ML
    2002
    ACM
    143views Machine Learning» more  ML 2002»
    A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
    14 years 9 months ago
    A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
    Download  www.cis.upenn.edu
    An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
    Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
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