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    SDM
    2008
    SIAM
    150views Data Mining» more  SDM 2008»
    A Stagewise Least Square Loss Function for Classification
    15 years 8 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
    140views Data Mining» more  SDM 2008»
    Large-Scale Many-Class Learning
    15 years 8 months ago
    Large-Scale Many-Class Learning
    Download  www.personal.psu.edu
    In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
    Omid Madani, Michael Connor
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    SDM
    2008
    SIAM
    129views Data Mining» more  SDM 2008»
    Statistical Density Prediction in Traffic Networks
    15 years 8 months ago
    Statistical Density Prediction in Traffic Networks
    Download  www.dbs.informatik.uni-muenchen.de
    Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...
    Hans-Peter Kriegel, Matthias Renz, Matthias Schube...
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    SDM
    2008
    SIAM
    140views Data Mining» more  SDM 2008»
    Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
    15 years 8 months ago
    Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
    Download  wwwiti.cs.uni-magdeburg.de
    Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
    Korinna Bade, Andreas Nürnberger
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    SDM
    2008
    SIAM
    136views Data Mining» more  SDM 2008»
    Exploration and Reduction of the Feature Space by Hierarchical Clustering
    15 years 8 months ago
    Exploration and Reduction of the Feature Space by Hierarchical Clustering
    Download  www.di.unito.it
    In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
    Dino Ienco, Rosa Meo
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