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    DEBS
    2008
    ACM
    143views Distributed And Parallel Com...» more  DEBS 2008»
    Event dissemination via group-aware stream filtering
    13 years 11 months ago
    Event dissemination via group-aware stream filtering
    Download  www.cs.dartmouth.edu
    We consider a distributed system that disseminates highvolume event streams to many simultaneous monitoring applications over a low-bandwidth network. For bandwidth efficiency, we...
    Ming Li, David Kotz
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    AAAI
    2010
    131views Intelligent Agents» more  AAAI 2010»
    SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs
    13 years 10 months ago
    SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs
    Download  www.cs.washington.edu
    The results of the latest International Probabilistic Planning Competition (IPPC-2008) indicate that the presence of dead ends, states with no trajectory to the goal, makes MDPs h...
    Andrey Kolobov, Mausam, Daniel S. Weld
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    IIR
    2010
    155views Information Technology» more  IIR 2010»
    Thinking of a System for Image Retrieval
    13 years 10 months ago
    Thinking of a System for Image Retrieval
    Download  sunsite.informatik.rwth-aachen.de
    Increasing applications are demanding effective and efficient support to perform retrieval in large collections of digital images. The work presented here is an early stage resear...
    Giovanna Castellano, Gianluca Sforza, Maria Alessa...
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    SDM
    2008
    SIAM
    139views Data Mining» more  SDM 2008»
    Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
    13 years 10 months ago
    Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
    Download  www.comp.nus.edu.sg
    The rigid all-versus-all adjacency required by a maximal biclique for its two vertex sets is extremely vulnerable to missing data. In the past, several types of quasi-bicliques ha...
    Jinyan Li, Kelvin Sim, Guimei Liu, Limsoon Wong
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    AAAI
    2006
    123views Intelligent Agents» more  AAAI 2006»
    Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
    13 years 10 months ago
    Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
    Download  www.aaai.org
    We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
    Yi Liu, Rong Jin, Liu Yang
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