A scalable hardware implementation of the support vector machine(一种可伸缩的支持向量机的硬件实现方法)
提出了支持向量机(Support Vector Machine)学习过程硬件实现的一种新的数字电路结构,它可以在保证向量机学习速度的同时,提高支持向量机的硬件资源利用效率;此外基于此结构的支持向量学习机还可以适用于低于设计数的样本集.由于该设计的灵活性以及其对硬件要求的减小,使得支持向量学习机可以更好、更方便地应用于嵌入式系统中....
Main Authors: | WANGSi-ping(王嗣平), SHENHai-bin(沈海斌), YANXao-lang(严晓浪) |
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Format: | Article |
Language: | zho |
Published: |
Zhejiang University Press
2009-05-01
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Series: | Zhejiang Daxue xuebao. Lixue ban |
Subjects: | |
Online Access: | https://doi.org/10.3785/j.issn.1008-9497.2009.03.009 |
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