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    SDM
    2008
    SIAM
    133views Data Mining» more  SDM 2008»
    Semantic Smoothing for Bayesian Text Classification with Small Training Data
    13 years 11 months ago
    Semantic Smoothing for Bayesian Text Classification with Small Training Data
    Download  www.cis.drexel.edu
    Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
    Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
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    SDM
    2008
    SIAM
    135views Data Mining» more  SDM 2008»
    A Spamicity Approach to Web Spam Detection
    13 years 11 months ago
    A Spamicity Approach to Web Spam Detection
    Download  www.cs.sfu.ca
    Web spam, which refers to any deliberate actions bringing to selected web pages an unjustifiable favorable relevance or importance, is one of the major obstacles for high quality ...
    Bin Zhou 0002, Jian Pei, ZhaoHui Tang
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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
    165views Data Mining» more  SDM 2008»
    On the Dangers of Cross-Validation. An Experimental Evaluation
    13 years 11 months ago
    On the Dangers of Cross-Validation. An Experimental Evaluation
    Download  people.csail.mit.edu
    Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
    R. Bharat Rao, Glenn Fung
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    SDM
    2008
    SIAM
    97views Data Mining» more  SDM 2008»
    Efficient Distribution Mining and Classification
    13 years 11 months ago
    Efficient Distribution Mining and Classification
    Download  www.db.cs.cmu.edu
    We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
    Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
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