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    SIGIR
    2008
    ACM
    139views Information Technology» more  SIGIR 2008»
    A boosting algorithm for learning bipartite ranking functions with partially labeled data
    13 years 4 months ago
    A boosting algorithm for learning bipartite ranking functions with partially labeled data
    Download  www-connex.lip6.fr
    Massih-Reza Amini, Tuong-Vinh Truong, Cyril Goutte
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    ALT
    2008
    Springer
    148views Machine Learning» more  ALT 2008»
    Smooth Boosting for Margin-Based Ranking
    14 years 1 months ago
    Smooth Boosting for Margin-Based Ranking
    Download  www.i.kyushu-u.ac.jp
    We propose a new boosting algorithm for bipartite ranking problems. Our boosting algorithm, called SoftRankBoost, is a modification of RankBoost which maintains only smooth distri...
    Jun-ichi Moribe, Kohei Hatano, Eiji Takimoto, Masa...
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    NIPS
    2007
    167views Information Technology» more  NIPS 2007»
    A General Boosting Method and its Application to Learning Ranking Functions for Web Search
    13 years 6 months ago
    A General Boosting Method and its Application to Learning Ranking Functions for Web Search
    Download  books.nips.cc
    We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
    Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
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    SIGIR
    2008
    ACM
    192views Information Technology» more  SIGIR 2008»
    Learning to rank with partially-labeled data
    13 years 4 months ago
    Learning to rank with partially-labeled data
    Download  ssli.ee.washington.edu
    Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
    Kevin Duh, Katrin Kirchhoff
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    NIPS
    2003
    127views Information Technology» more  NIPS 2003»
    Log-Linear Models for Label Ranking
    13 years 6 months ago
    Log-Linear Models for Label Ranking
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    Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
    Ofer Dekel, Christopher D. Manning, Yoram Singer
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