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    APBC
    2004
    132views Bioinformatics» more  APBC 2004»
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    13 years 8 months ago
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    Download  crpit.com
    This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
    Liang Goh, Qun Song, Nikola K. Kasabov
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    SDM
    2004
    SIAM
    187views Data Mining» more  SDM 2004»
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    13 years 8 months ago
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    Download  www.cs.utexas.edu
    Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
    Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
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    ICISC
    2000
    126views Cryptology» more  ICISC 2000»
    Cryptographic Applications of Sparse Polynomials over Finite Rings
    13 years 8 months ago
    Cryptographic Applications of Sparse Polynomials over Finite Rings
    Download  www.math.missouri.edu
    Abstract. This paper gives new examples that exploit the idea of using sparse polynomials with restricted coefficients over a finite ring for designing fast, reliable cryptosystems...
    William D. Banks, Daniel Lieman, Igor Shparlinski,...
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    NIPS
    1998
    102views Information Technology» more  NIPS 1998»
    An Entropic Estimator for Structure Discovery
    13 years 8 months ago
    An Entropic Estimator for Structure Discovery
    Download  www.merl.com
    We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
    Matthew Brand
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    NIPS
    1997
    211views Information Technology» more  NIPS 1997»
    EM Algorithms for PCA and SPCA
    13 years 8 months ago
    EM Algorithms for PCA and SPCA
    Download  www.cs.nyu.edu
    I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
    Sam T. Roweis
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