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    » The Proportional Genetic Algorithm: Gene Expression in a Gen...
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    BMCBI
    2005
    112views more  BMCBI 2005»
    Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
    13 years 7 months ago
    Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
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    Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
    Rainer Breitling, Patrick Armengaud, Anna Amtmann
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    SOFTCO
    2004
    Springer
    159views Theoretical Computer Science» more  SOFTCO 2004»
    Designing Neural Networks Using Gene Expression Programming
    14 years 21 days ago
    Designing Neural Networks Using Gene Expression Programming
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    Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
    Cândida Ferreira
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    GECCO
    2007
    Springer
    177views Optimization» more  GECCO 2007»
    Inducing a generative expressive performance model using a sequential-covering genetic algorithm
    14 years 1 months ago
    Inducing a generative expressive performance model using a sequential-covering genetic algorithm
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    In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. We begin with a collection of audio recordin...
    Rafael Ramirez, Amaury Hazan
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    BMCBI
    2007
    186views more  BMCBI 2007»
    Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms
    13 years 7 months ago
    Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms
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    Background: Modeling cancer-related regulatory modules from gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as...
    Jung-Hsien Chiang, Shih-Yi Chao
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    AMC
    2007
    177views more  AMC 2007»
    Genetic algorithms for the structural optimisation of learned polynomial expressions
    13 years 7 months ago
    Genetic algorithms for the structural optimisation of learned polynomial expressions
    Download  sci2s.ugr.es
    Gavin Potgieter, Andries Petrus Engelbrecht
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