کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
531075 869808 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new framework for optimal classifier design
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
A new framework for optimal classifier design
چکیده انگلیسی

The use of alternative measures to evaluate classifier performance is gaining attention, specially for imbalanced problems. However, the use of these measures in the classifier design process is still unsolved. In this work we propose a classifier designed specifically to optimize one of these alternative measures, namely, the so-called F-measure. Nevertheless, the technique is general, and it can be used to optimize other evaluation measures. An algorithm to train the novel classifier is proposed, and the numerical scheme is tested with several databases, showing the optimality and robustness of the presented classifier.


► Classifier designed specifically to optimize the F-value.
► The technique proposed is general, and it can be adapted to other measures.
► The framework and numerical scheme are tested with different databases.
► Theory presented is general, implementations for the n-D case are straightforward.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 46, Issue 8, August 2013, Pages 2249–2255
نویسندگان
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