Digital Least Squares Support Vector Machines
作者:Davide Anguita, Andrea Boni
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.
论文关键词:digital neural hardware, kernel methods, least squares support vector machines, support vector machines
论文评审过程:
论文官网地址:https://doi.org/10.1023/A:1026249319477