کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1713250 1519809 2006 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Solving large-scale multiclass learning problems via an efficient support vector classifier
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Solving large-scale multiclass learning problems via an efficient support vector classifier
چکیده انگلیسی
Support vector machines (SVMs) are initially designed for binary classification. How to effectively extend them for multiclass classification is still an ongoing research topic. A multiclass classifier is constructed by combining SVMlight algorithm with directed acyclic graph SVM (DAGSVM) method, named DAGSVMlight. A new method is proposed to select the workings set which is identical to the working set selected by SVMlight approach. Experimental results indicate DAGSVMlight is competitive with DAGSMO. It is more suitable for practice use. It may be an especially useful tool for large-scale multiclass classification problems and lead to more widespread use of SVMs in the engineering community due to its good performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems Engineering and Electronics - Volume 17, Issue 4, December 2006, Pages 910-915
نویسندگان
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