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    BMCBI
    2006
    106views more  BMCBI 2006»
    Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector
    15 years 2 months ago
    Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector
    Download  www.biomedcentral.com
    Metal-binding proteins play important roles in structural stability, signaling, regulation, transport, immune response, metabolism control, and metal homeostasis. Because of their...
    H. H. Lin, L. Y. Han, H. L. Zhang, C. J. Zheng, B....
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    ICML
    2005
    IEEE
    135views Machine Learning» more  ICML 2005»
    Supervised clustering with support vector machines
    16 years 2 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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    GFKL
    2007
    Springer
    163views Data Mining» more  GFKL 2007»
    Fast Support Vector Machine Classification of Very Large Datasets
    15 years 5 months ago
    Fast Support Vector Machine Classification of Very Large Datasets
    Download  lmb.informatik.uni-freiburg.de
    In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
    Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
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    BMCBI
    2005
    155views more  BMCBI 2005»
    Mining protein function from text using term-based support vector machines
    15 years 1 months ago
    Mining protein function from text using term-based support vector machines
    Download  www.biomedcentral.com
    Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
    Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
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    BMCBI
    2006
    201views more  BMCBI 2006»
    Gene selection algorithms for microarray data based on least squares support vector machine
    15 years 2 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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