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    NPL
    2006
    130views more  NPL 2006»
    A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
    13 years 4 months ago
    A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
    Download  www.computing.edu.au
    This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
    Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...
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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 4 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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    ICPR
    2008
    IEEE
    211views Computer Vision» more  ICPR 2008»
    Multiple view based 3D object classification using ensemble learning of local subspaces
    14 years 6 months ago
    Multiple view based 3D object classification using ensemble learning of local subspaces
    Download  www.cvlab.cs.tsukuba.ac.jp
    Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
    Jianing Wu, Kazuhiro Fukui
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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    13 years 4 months ago
    Kernel-based distance metric learning for microarray data classification
    Download  www.biomedcentral.com
    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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    DIS
    2008
    Springer
    101views Theoretical Computer Science» more  DIS 2008»
    Unsupervised Classifier Selection Based on Two-Sample Test
    13 years 6 months ago
    Unsupervised Classifier Selection Based on Two-Sample Test
    Download  www.cs.tut.fi
    We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
    Timo Aho, Tapio Elomaa, Jussi Kujala
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