کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10359969 | 869569 | 2005 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Ensemble diversity measures and their application to thinning
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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چکیده انگلیسی
The diversity of an ensemble of classifiers can be calculated in a variety of ways. Here a diversity metric and a means for altering the diversity of an ensemble, called “thinning”, are introduced. We evaluate thinning algorithms created by several techniques on 22 publicly available datasets. When compared to other methods, our percentage correct diversity measure shows a greatest correlation between the increase in voted ensemble accuracy and the diversity value. Also, the analysis of different ensemble creation methods indicates that they generate different levels of diversity. Finally, the methods proposed for thinning show that ensembles can be made smaller without loss in accuracy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Fusion - Volume 6, Issue 1, March 2005, Pages 49-62
Journal: Information Fusion - Volume 6, Issue 1, March 2005, Pages 49-62
نویسندگان
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W.Philip Kegelmeyer,