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    DATAMINE
    2006
    157views more  DATAMINE 2006»
    Data Clustering with Partial Supervision
    14 years 10 months ago
    Data Clustering with Partial Supervision
    Download  www.isys.uni-klu.ac.at
    Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
    Abdelhamid Bouchachia, Witold Pedrycz
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    IR
    2006
    155views Natural Language Processing» more  IR 2006»
    Table extraction for answer retrieval
    14 years 9 months ago
    Table extraction for answer retrieval
    Download  www.cs.umass.edu
    The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
    Xing Wei, W. Bruce Croft, Andrew McCallum
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    IVC
    2006
    175views more  IVC 2006»
    Face recognition using optimal linear components of range images
    14 years 9 months ago
    Face recognition using optimal linear components of range images
    Download  stat.fsu.edu
    This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces fo...
    Anuj Srivastava, Xiuwen Liu, Curt Hesher
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    JMLR
    2006
    113views more  JMLR 2006»
    Generalized Bradley-Terry Models and Multi-Class Probability Estimates
    14 years 9 months ago
    Generalized Bradley-Terry Models and Multi-Class Probability Estimates
    Download  www.csie.ntu.edu.tw
    The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probabilit...
    Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
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    FSS
    2007
    117views more  FSS 2007»
    Multiple regression with fuzzy data
    14 years 9 months ago
    Multiple regression with fuzzy data
    Download  www.nottingham.edu.my
    In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
    Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
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