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    ICML
    2004
    IEEE
    131views Machine Learning» more  ICML 2004»
    Active learning of label ranking functions
    14 years 2 months ago
    Active learning of label ranking functions
    Download  www.machinelearning.org
    The effort necessary to construct labeled sets of examples in a supervised learning scenario is often disregarded, though in many applications, it is a time-consuming and expensi...
    Klaus Brinker
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    WWW
    2004
    ACM
    93views Internet Technology» more  WWW 2004»
    Rank aggregation for meta-search engines
    14 years 9 months ago
    Rank aggregation for meta-search engines
    Download  www.iw3c2.org
    ?????????!#"$?%?&'???(?)0132&????46572(481?9?1@%??AB0?&? 5C2D4FEG?9H'???E?D?&I?&2A?P%%?Q?9??4R%?&ST?&%!PU?)'?1?9?DV8WX5?A?&S ??...
    Ka Wai Lam, Chi Ho Leung
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    STOC
    2005
    ACM
    127views Algorithms» more  STOC 2005»
    Aggregating inconsistent information: ranking and clustering
    14 years 9 months ago
    Aggregating inconsistent information: ranking and clustering
    Download  dimacs.rutgers.edu
    Nir Ailon, Moses Charikar, Alantha Newman
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    SIGMOD
    2003
    ACM
    119views Database» more  SIGMOD 2003»
    Efficient similarity search and classification via rank aggregation
    14 years 9 months ago
    Efficient similarity search and classification via rank aggregation
    Download  www.almaden.ibm.com
    Ronald Fagin, Ravi Kumar, D. Sivakumar
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    PODS
    2004
    ACM
    133views Database» more  PODS 2004»
    Comparing and Aggregating Rankings with Ties
    14 years 9 months ago
    Comparing and Aggregating Rankings with Ties
    Download  www.almaden.ibm.com
    Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Siv...
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