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    BMCBI
    2006
    146views more  BMCBI 2006»
    Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
    14 years 10 months ago
    Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
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    Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
    Michael Meissner, Michael Schmuker, Gisbert Schnei...
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    BMCBI
    2006
    85views more  BMCBI 2006»
    Identification of physicochemical selective pressure on protein encoding nucleotide sequences
    14 years 10 months ago
    Identification of physicochemical selective pressure on protein encoding nucleotide sequences
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    Background: Statistical methods for identifying positively selected sites in protein coding regions are one of the most commonly used tools in evolutionary bioinformatics. However...
    Wendy S. W. Wong, Raazesh Sainudiin, Rasmus Nielse...
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    BMCBI
    2006
    142views more  BMCBI 2006»
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
    14 years 10 months ago
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
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    Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
    Yuanyuan Ding, Dawn Wilkins
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    CN
    2006
    106views more  CN 2006»
    Model-based end-to-end available bandwidth inference using queueing analysis
    14 years 10 months ago
    Model-based end-to-end available bandwidth inference using queueing analysis
    Download  repository.ust.hk
    End-to-end available bandwidth estimation between Internet hosts is important to understand network congestion and enhance the performance of Quality-of-Service (QoS) demanding ap...
    Xiaojun Hei, Brahim Bensaou, Danny H. K. Tsang
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    CSDA
    2006
    90views more  CSDA 2006»
    Estimation in covariate-adjusted regression
    14 years 10 months ago
    Estimation in covariate-adjusted regression
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    Abstract: The method of covariate adjusted regression was recently proposed for situations where both predictors and response in a regression model are not directly observed, but a...
    Damla Sentürk, Danh V. Nguyen
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