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    PRL
    2006
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    Data complexity assessment in undersampled classification of high-dimensional biomedical data
    13 years 4 months ago
    Data complexity assessment in undersampled classification of high-dimensional biomedical data
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    Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
    Richard Baumgartner, Ray L. Somorjai
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    PRL
    2006
    146views more  PRL 2006»
    Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier
    13 years 4 months ago
    Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier
    Download  staff.science.uva.nl
    In this work we introduce a new distance estimation technique by boosting and we apply it to the K-Nearest Neighbor Classifier (KNN). Instead of applying AdaBoost to a typical cla...
    Jaume Amores, Nicu Sebe, Petia Radeva
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