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    BMCBI
    2007
    134views more  BMCBI 2007»
    A framework for significance analysis of gene expression data using dimension reduction methods
    13 years 7 months ago
    A framework for significance analysis of gene expression data using dimension reduction methods
    Download  www.biomedcentral.com
    Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
    Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
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    CSDA
    2007
    123views more  CSDA 2007»
    Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
    13 years 7 months ago
    Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
    Download  stat-athens.aueb.gr
    In two-way contingency tables analysis, a popular class of models for describing the structure of the association between the two categorical variables are the so-called “associ...
    G. Iliopoulos, Maria Kateri, Ioannis Ntzoufras
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    IBPRIA
    2005
    Springer
    174views Pattern Recognition» more  IBPRIA 2005»
    Multispectral Image Segmentation by Energy Minimization for Fruit Quality Estimation
    14 years 1 months ago
    Multispectral Image Segmentation by Energy Minimization for Fruit Quality Estimation
    Download  vision.uji.es
    Abstract. This article presents the results of an unsupervised segmentation algorithm in multispectral images. The algorithm uses a minimization function which takes into account e...
    Adolfo Martínez Usó, Filiberto Pla, ...
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    ASPDAC
    2009
    ACM
    164views Hardware» more  ASPDAC 2009»
    Accounting for non-linear dependence using function driven component analysis
    14 years 2 months ago
    Accounting for non-linear dependence using function driven component analysis
    Download  eda.ee.ucla.edu
    Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
    Lerong Cheng, Puneet Gupta, Lei He
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    ICASSP
    2010
    IEEE
    162views Signal Processing» more  ICASSP 2010»
    Distributed Lasso for in-network linear regression
    13 years 7 months ago
    Distributed Lasso for in-network linear regression
    Download  iie.fing.edu.uy
    The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
    Juan Andrés Bazerque, Gonzalo Mateos, Georg...
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