کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9600472 | 1404690 | 2005 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Constructing Support Vector Machine Ensembles for Cancer Classification Based on Proteomic Profiling
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
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چکیده انگلیسی
In this study, we present a constructive algorithm for training cooperative support vector machine ensembles (CSVMEs). CSVME combines ensemble architecture design with cooperative training for individual SVMs in ensembles. Unlike most previous studies on training ensembles, CSVME puts emphasis on both accuracy and collaboration among individual SVMs in an ensemble. A group of SVMs selected on the basis of recursive classifier elimination is used in CSVME, and the number of the individual SVMs selected to construct CSVME is determined by 10-fold cross-validation. This kind of SVME has been tested on two ovarian cancer datasets previously obtained by proteomic mass spectrometry. By combining several individual SVMs, the proposed method achieves better performance than the SVME of all base SVMs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Genomics, Proteomics & Bioinformatics - Volume 3, Issue 4, 2005, Pages 238-241
Journal: Genomics, Proteomics & Bioinformatics - Volume 3, Issue 4, 2005, Pages 238-241
نویسندگان
Yong Mao, Xiao-Bo Zhou, Dao-Ying Pi, You-Xian Sun,