کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
536236 870482 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On the kernel Extreme Learning Machine speedup
ترجمه فارسی عنوان
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موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• We propose an approximate solution for the kernel Extreme Learning Machine.
• The proposed method reduces the computational and memory costs of kELM.
• The proposed approach achieves satisfactory classification performance.

In this paper, we describe an approximate method for reducing the time and memory complexities of the kernel Extreme Learning Machine variants. We show that, by adopting a Nyström-based kernel ELM matrix approximation, we can define an ELM space exploiting properties of the kernel ELM space that can be subsequently used to apply several optimization schemes proposed in the literature for ELM network training. The resulted ELM network can achieve good performance, which is comparable to that of its standard kernel ELM counterpart, while overcoming the time and memory restrictions on kernel ELM algorithms that render their application in large-scale learning problems prohibitive.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 68, Part 1, 15 December 2015, Pages 205–210
نویسندگان
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