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    DEDS
    2008
    87views more  DEDS 2008»
    On-Line Monitoring of Large Petri Net Models Under Partial Observation
    13 years 7 months ago
    On-Line Monitoring of Large Petri Net Models Under Partial Observation
    Download  www.cs.bham.ac.uk
    This paper deals with the on-line monitoring of large systems modeled as Petri Nets under partial observation. The plant observation is given by a subset of transitions whose occu...
    George Jiroveanu, René K. Boel, Behzad Bord...
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    DAGSTUHL
    1996
    115views Software Engineering» more  DAGSTUHL 1996»
    On-line Algorithms in Machine Learning
    13 years 8 months ago
    On-line Algorithms in Machine Learning
    Download  www.cs.cmu.edu
    The areas of On-Line Algorithms and Machine Learning are both concerned with problems of making decisions about the present based only on knowledge of the past. Although these area...
    Avrim Blum
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    COCOA
    2009
    Springer
    169views Discrete Geometry» more  COCOA 2009»
    An Effective Hybrid Algorithm for the Circles and Spheres Packing Problems
    13 years 10 months ago
    An Effective Hybrid Algorithm for the Circles and Spheres Packing Problems
    Download  theory.utdallas.edu
    stract to be announcedPlenary session 09:00-10:00 Panos M, Pardalos, University of Florida, USA Tea Break 10:00-10:20 At the 1st floor 10:20-10:45 Polynomial Approximation Schemes ...
    Jingfa Liu, Yonglei Yao, Yu Zheng, Huantong Geng, ...
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    RSA
    2006
    74views more  RSA 2006»
    A randomized on-line algorithm for the k-server problem on a line
    13 years 7 months ago
    A randomized on-line algorithm for the k-server problem on a line
    Download  www.math.u-szeged.hu
    The k
    Béla Csaba, Sachin Lodha
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    IPPS
    2002
    IEEE
    134views Distributed And Parallel Com...» more  IPPS 2002»
    Parallel Incremental 2D-Discretization on Dynamic Datasets
    14 years 12 days ago
    Parallel Incremental 2D-Discretization on Dynamic Datasets
    Download  www.cse.ohio-state.edu
    Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
    Srinivasan Parthasarathy, Arun Ramakrishnan
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