کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
409547 679077 2006 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An ensemble of classifiers for the diagnosis of erythemato-squamous diseases
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
An ensemble of classifiers for the diagnosis of erythemato-squamous diseases
چکیده انگلیسی

A new ensemble of support vector machines (SVM) based on random subspace (RS) and feature selection is developed and applied to the problem of differential diagnosis of erythemato-squamous diseases. Each classifier has a “favourite” class. To find the feature subset for the classifier Di with “favourite” class wi, we calculate the best features to discriminate this class (wi) from all the other classes. Our results improved the average predictive accuracy obtained by a “stand-alone” SVM or by a RS ensemble of SVM.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 69, Issues 7–9, March 2006, Pages 842–845
نویسندگان
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