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    ICML
    2005
    IEEE
    135views Machine Learning» more  ICML 2005»
    Supervised clustering with support vector machines
    15 years 10 months ago
    Supervised clustering with support vector machines
    Download  www.cs.cornell.edu
    Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
    Thomas Finley, Thorsten Joachims
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    81
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    CIKM
    2004
    Springer
    137views Information Technology» more  CIKM 2004»
    Hierarchical document categorization with support vector machines
    15 years 2 months ago
    Hierarchical document categorization with support vector machines
    Download  www.cs.brown.edu
    Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
    Lijuan Cai, Thomas Hofmann
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    105
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    IJCNN
    2006
    IEEE
    146views Neural Networks» more  IJCNN 2006»
    Learning the Kernel in Mahalanobis One-Class Support Vector Machines
    15 years 3 months ago
    Learning the Kernel in Mahalanobis One-Class Support Vector Machines
    Download  www.cse.ust.hk
    — In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
    Ivor W. Tsang, James T. Kwok, Shutao Li
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    14 years 9 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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    BMCBI
    2006
    201views more  BMCBI 2006»
    Gene selection algorithms for microarray data based on least squares support vector machine
    14 years 9 months ago
    Gene selection algorithms for microarray data based on least squares support vector machine
    Download  www.biomedcentral.com
    Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
    E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
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