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    KBS
    2008
    98views more  KBS 2008»
    Mixed feature selection based on granulation and approximation
    13 years 6 months ago
    Mixed feature selection based on granulation and approximation
    Download  www.turbo.hit.edu.cn
    Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
    Qinghua Hu, Jinfu Liu, Daren Yu
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    EOR
    2006
    104views more  EOR 2006»
    Link function selection in stochastic multicriteria decision making models
    13 years 7 months ago
    Link function selection in stochastic multicriteria decision making models
    Download  faculty.salisbury.edu
    A stochastic formulation of the Analytic Hierarchy Process (AHP) using an approach based on Bayesian categorical data models has been developed. However, in categorical data model...
    Eugene D. Hahn
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    MICCAI
    2006
    Springer
    204views Medical Imaging» more  MICCAI 2006»
    A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
    14 years 8 months ago
    A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
    Download  www.datalab.uci.edu
    Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
    Hal S. Stern, Padhraic Smyth, Seyoung Kim
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    WSC
    2007
    152views Modeling And Simulation» more  WSC 2007»
    New greedy myopic and existing asymptotic sequential selection procedures: preliminary empirical results
    13 years 10 months ago
    New greedy myopic and existing asymptotic sequential selection procedures: preliminary empirical results
    Download  www.informs-sim.org
    Statistical selection procedures can identify the best of a finite set of alternatives, where “best” is defined in terms of the unknown expected value of each alternative’...
    Stephen E. Chick, Jürgen Branke, Christian Sc...
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    SPLC
    2008
    115views Software Engineering» more  SPLC 2008»
    Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
    13 years 9 months ago
    Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
    Download  www.dre.vanderbilt.edu
    Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...
    Jules White, B. Doughtery, Douglas C. Schmidt
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