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    PRL
    2008
    124views more  PRL 2008»
    Matrix-pattern-oriented least squares support vector classifier with AdaBoost
    13 years 10 months ago
    Matrix-pattern-oriented least squares support vector classifier with AdaBoost
    Download  parnec.nuaa.edu.cn
    : Matrix-pattern-oriented Least Squares Support Vector Classifier (MatLSSVC) can directly classify matrix patterns and has a superior classification performance than its vector ver...
    Zhe Wang, Songcan Chen
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    BMCBI
    2006
    201views more  BMCBI 2006»
    Gene selection algorithms for microarray data based on least squares support vector machine
    13 years 11 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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    ESANN
    2006
    262views Neural Networks» more  ESANN 2006»
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    14 years 8 days ago
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    Download  www.dice.ucl.ac.be
    Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
    Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
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    BMCBI
    2005
    131views more  BMCBI 2005»
    Regularized Least Squares Cancer Classifiers from DNA microarray data
    13 years 10 months ago
    Regularized Least Squares Cancer Classifiers from DNA microarray data
    Download  www.biomedcentral.com
    Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
    Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
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    FLAIRS
    2004
    239views Artificial Intelligence» more  FLAIRS 2004»
    Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
    14 years 8 days ago
    Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
    Download  www.aaai.org
    One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
    ZhenQiu Liu, Dechang Chen
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