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    SIGIR
    2005
    ACM
    192views Information Technology» more  SIGIR 2005»
    Automatic web query classification using labeled and unlabeled training data
    14 years 3 months ago
    Automatic web query classification using labeled and unlabeled training data
    Download  www.ir.iit.edu
    Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
    Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
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    DMIN
    2008
    145views Data Mining» more  DMIN 2008»
    Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
    13 years 11 months ago
    Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
    Download  ftp.cs.wisc.edu
    We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows ...
    Olvi L. Mangasarian, Edward W. Wild
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    KRMED
    2008
    109views Knowledge Management» more  KRMED 2008»
    Exploiting Fast Classification of SNOMED CT for Query and Integration of Health Data
    13 years 11 months ago
    Exploiting Fast Classification of SNOMED CT for Query and Integration of Health Data
    Download  sunsite.informatik.rwth-aachen.de
    By constructing local extensions to SNOMED we aim to enrich existing medical and related data stores, simplify the expression of complex queries, and establish a foundation for se...
    Michael Lawley
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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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    PAMI
    2008
    119views more  PAMI 2008»
    Triplet Markov Fields for the Classification of Complex Structure Data
    13 years 10 months ago
    Triplet Markov Fields for the Classification of Complex Structure Data
    Download  mistis.inrialpes.fr
    We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
    Juliette Blanchet, Florence Forbes
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