کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
412734 679678 2010 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On the evolutionary design of heterogeneous Bagging models
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
On the evolutionary design of heterogeneous Bagging models
چکیده انگلیسی

Bagging is a popular ensemble algorithm based on the idea of data resampling. In this paper, aiming at increasing the incurred levels of ensemble diversity, we present an evolutionary approach for optimally designing Bagging models composed of heterogeneous components. To assess its potentials, experiments with well-known learning algorithms and classification datasets are discussed whereby the accuracy, generalization and diversity levels achieved with heterogeneous Bagging are matched against those delivered by standard Bagging with homogeneous components.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 16–18, October 2010, Pages 3319–3322
نویسندگان
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