کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6940874 870309 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization
چکیده انگلیسی
This paper proposes a new and efficient parallel schema of the Iterative Re-Weighted Least Squares (IRWLS) procedure to solve Support Vector Machines (SVMs). This procedure makes use of a parallel Cholesky decomposition to solve in every iteration the linear systems. In particular, we provide two different solutions, a parallel implementation of the IRWLS procedure (PIRWLS) to solve a full SVM and a new parallel implementation of a semi-parametric model of SVM (PSIRWLS). Both solutions have been implemented for multicore and multiprocessor environments with shared memory. We have benchmarked these algorithms against LibSVM, SVMLight and PS-SVM. Experimental results show that using large datasets, our systems offer better parallelization capabilities and higher speed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 84, 1 December 2016, Pages 91-98
نویسندگان
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