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    SDM
    2008
    SIAM
    150views Data Mining» more  SDM 2008»
    A Stagewise Least Square Loss Function for Classification
    13 years 11 months ago
    A Stagewise Least Square Loss Function for Classification
    Download  nlpr-web.ia.ac.cn
    This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
    Shuang-Hong Yang, Bao-Gang Hu
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Cluster Ensemble Selection
    13 years 11 months ago
    Cluster Ensemble Selection
    Download  web.engr.oregonstate.edu
    This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
    Xiaoli Z. Fern, Wei Lin
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    SDM
    2007
    SIAM
    86views Data Mining» more  SDM 2007»
    Identifying Bundles of Product Options using Mutual Information Clustering
    13 years 11 months ago
    Identifying Bundles of Product Options using Mutual Information Clustering
    Download  siam.org
    Mass-produced goods tend to be highly standardized in order to maximize manufacturing efficiencies. Some high-value goods with limited production quantities remain much less stand...
    Claudia Perlich, Saharon Rosset
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    SDM
    2007
    SIAM
    117views Data Mining» more  SDM 2007»
    Summarizing Review Scores of "Unequal" Reviewers
    13 years 11 months ago
    Summarizing Review Scores of "Unequal" Reviewers
    Download  www.cs.sfu.ca
    A frequently encountered problem in decision making is the following review problem: review a large number of objects and select a small number of the best ones. An example is sel...
    Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
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    DAGSTUHL
    2004
    142views Software Engineering» more  DAGSTUHL 2004»
    Knowledge-Based Sampling for Subgroup Discovery
    13 years 11 months ago
    Knowledge-Based Sampling for Subgroup Discovery
    Download  www-ai.cs.uni-dortmund.de
    Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
    Martin Scholz
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