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    BMCBI
    2006
    137views more  BMCBI 2006»
    Improving the accuracy of protein secondary structure prediction using structural alignment
    13 years 7 months ago
    Improving the accuracy of protein secondary structure prediction using structural alignment
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    Background: The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve ...
    Scott Montgomerie, Shan Sundararaj, Warren J. Gall...
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    ICMLA
    2009
    167views Machine Learning» more  ICMLA 2009»
    Structured Prediction Models for Chord Transcription of Music Audio
    13 years 5 months ago
    Structured Prediction Models for Chord Transcription of Music Audio
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    Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
    Adrian Weller, Daniel P. W. Ellis, Tony Jebara
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    BMCBI
    2006
    142views more  BMCBI 2006»
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
    13 years 7 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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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    13 years 7 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
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    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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    MCS
    2007
    Springer
    110views Pattern Recognition» more  MCS 2007»
    Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets
    13 years 7 months ago
    Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets
    Download  www.cs.umd.edu
    Abstract. Ensembles are often capable of greater predictive performance than any of their individual classifiers. Despite the need for classifiers to make different kinds of err...
    Nitesh V. Chawla, Jared Sylvester
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