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    ICDE
    2003
    IEEE
    143views Database» more  ICDE 2003»
    Index-Based Approximate XML Joins
    15 years 11 months ago
    Index-Based Approximate XML Joins
    Download  www.research.att.com
    XML data integration tools are facing a variety of challenges for their efficient and effective operation. Among these is the requirement to handle a variety of inconsistencies or...
    Sudipto Guha, Nick Koudas, Divesh Srivastava, Ting...
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    JAT
    2010
    80views more  JAT 2010»
    The Bregman distance, approximate compactness and convexity of Chebyshev sets in Banach spaces
    14 years 8 months ago
    The Bregman distance, approximate compactness and convexity of Chebyshev sets in Banach spaces
    Download  www.math.zju.edu.cn
    We present some sufficient conditions ensuring the upper semicontinuity and the continuity of the Bregman projection operator Π g C and the relative projection operator P g C in...
    Chong Li, Wen Song, Jen-Chih Yao
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    ORL
    2006
    85views more  ORL 2006»
    A simple proof of diffusion approximations for LBFS re-entrant lines
    14 years 10 months ago
    A simple proof of diffusion approximations for LBFS re-entrant lines
    Download  madis1.iss.ac.cn
    For a re-entrant line operating under the last-buffer
    Jiankui Yang, J. G. Dai, Jian-Gong You, Hanqin Zha...
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    WSC
    2007
    121views Modeling And Simulation» more  WSC 2007»
    The optimizing-simulator: merging simulation and optimization using approximate dynamic programming
    15 years 14 days ago
    The optimizing-simulator: merging simulation and optimization using approximate dynamic programming
    Download  www.informs-sim.org
    There has long been a competition between simulation and optimization in the modeling of problems in transportation and logistics, machine scheduling and similar highdimensional p...
    Warren B. Powell
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    ORL
    2011
    270views Operations Research» more  ORL 2011»
    Convex approximations to sparse PCA via Lagrangian duality
    14 years 4 months ago
    Convex approximations to sparse PCA via Lagrangian duality
    Download  www.tau.ac.il
    We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
    Ronny Luss, Marc Teboulle
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