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Digital Least Squares Support Vector Machines

被引：22
作者：
Anguita, D
Boni, A
机构：
[1] Univ Genoa, Dept Biophys & Elect Engn, I-16145 Genoa, Italy
[2] Univ Trent, Dept Informat & Commun Technol, I-38050 Povo, TN, Italy
来源：
NEURAL PROCESSING LETTERS | 2003年 / 18卷 / 01期
关键词：
digital neural hardware; kernel methods; least squares support vector machines; support vector machines;
D O I：
10.1023/A:1026249319477
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];
摘要：
This paper presents a very simple digital architecture that implements a Least-Squares Support Vector Machine. The simplicity of the whole system and its good behavior when used to solve classification problems hold good prospects for the application of such a kind of learning machines to build embedded systems.
引用
收藏
页码：65 / 72
页数：8
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