کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10345377 | 698264 | 2014 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A heuristic biomarker selection approach based on professional tennis player ranking strategy
ترجمه فارسی عنوان
یک رویکرد انتخاب زیست شناسی اکتشافی بر اساس استراتژی رتبه بندی حرفه ای تنیس
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
Extracting significant features from high-dimension and small sample size biological data is a challenging problem. Recently, MichaÅ Draminski proposed the Monte Carlo feature selection (MC) algorithm, which was able to search over large feature spaces and achieved better classification accuracies. However in MC the information of feature rank variations is not utilized and the ranks of features are not dynamically updated. Here, we propose a novel feature selection algorithm which integrates the ideas of the professional tennis players ranking, such as seed players and dynamic ranking, into Monte Carlo simulation. Seed players make the feature selection game more competitive and selective. The strategy of dynamic ranking ensures that it is always the current best players to take part in each competition. The proposed algorithm is tested on 8 biological datasets. Results demonstrate that the proposed method is computationally efficient, stable and has favorable performance in classification.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods and Programs in Biomedicine - Volume 113, Issue 1, January 2014, Pages 186-201
Journal: Computer Methods and Programs in Biomedicine - Volume 113, Issue 1, January 2014, Pages 186-201
نویسندگان
Bin Han, Ruifei Xie, Lihua Li, Lei Zhu, Shen Wang,