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    GECCO
    2007
    Springer
    192views Optimization» more  GECCO 2007»
    Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
    13 years 9 months ago
    Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
    Download  www.cs.bham.ac.uk
    Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
    Emre H. Brookes, Borries Demeler
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    NIPS
    2008
    137views Information Technology» more  NIPS 2008»
    Optimal Response Initiation: Why Recent Experience Matters
    13 years 9 months ago
    Optimal Response Initiation: Why Recent Experience Matters
    Download  matt.colorado.edu
    In most cognitive and motor tasks, speed-accuracy tradeoffs are observed: Individuals can respond slowly and accurately, or quickly yet be prone to errors. Control mechanisms gove...
    Matt Jones, Michael C. Mozer, Sachiko Kinoshita
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    CSC
    2006
    73views Applied Computing» more  CSC 2006»
    Numerical Experiments on the Generation of Normal Mode Rossby Waves
    13 years 9 months ago
    Numerical Experiments on the Generation of Normal Mode Rossby Waves
    Download  ww1.ucmss.com
    s Normal mode Rossby waves are simulated with an efficient Double Fourier Series (DFS) spectral model, and their structures are investigated by the Empirical Orthogonal Function (E...
    Hyeong-Bin Cheong, In-Hyuk Kwon
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    CSDA
    2007
    151views more  CSDA 2007»
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
    13 years 7 months ago
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
    Download  afarcome.interfree.it
    An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
    Marco Alfò, Alessio Farcomeni, Luca Tardell...
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    BMCBI
    2006
    131views more  BMCBI 2006»
    SIMAGE: simulation of DNA-microarray gene expression data
    13 years 7 months ago
    SIMAGE: simulation of DNA-microarray gene expression data
    Download  www.biomedcentral.com
    Background: Simulation of DNA-microarray data serves at least three purposes: (i) optimizing the design of an intended DNA microarray experiment, (ii) comparing existing pre-proce...
    Casper J. Albers, Ritsert C. Jansen, Jan Kok, Osca...
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