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    GECCO
    2008
    Springer
    141views Optimization» more  GECCO 2008»
    Managing team-based problem solving with symbiotic bid-based genetic programming
    13 years 8 months ago
    Managing team-based problem solving with symbiotic bid-based genetic programming
    Download  www.cs.bham.ac.uk
    Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
    Peter Lichodzijewski, Malcolm I. Heywood
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    NECO
    1998
    151views more  NECO 1998»
    Nonlinear Component Analysis as a Kernel Eigenvalue Problem
    13 years 7 months ago
    Nonlinear Component Analysis as a Kernel Eigenvalue Problem
    Download  www.face-rec.org
    We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
    Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
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    BMCBI
    2010
    224views more  BMCBI 2010»
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    13 years 8 months ago
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    Download  www.biomedcentral.com
    Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
    Susmita Datta, Vasyl Pihur, Somnath Datta
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    BIOINFORMATICS
    2006
    92views more  BIOINFORMATICS 2006»
    What should be expected from feature selection in small-sample settings
    13 years 7 months ago
    What should be expected from feature selection in small-sample settings
    Download  gsp.tamu.edu
    Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
    Chao Sima, Edward R. Dougherty
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    ICRA
    2005
    IEEE
    100views Robotics» more  ICRA 2005»
    Improved Signal To Noise Ratio And Computational Speed For Gradient-Based Detection Algorithms
    14 years 1 months ago
    Improved Signal To Noise Ratio And Computational Speed For Gradient-Based Detection Algorithms
    Download  users.cecs.anu.edu.au
    — Image gradient-based feature detectors offer great advantages over their standard edge-only equivalents. In driver support systems research, the radial symmetry detection algor...
    Nick Barnes
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