Robotics & Machine Learning Daily News2024,Issue(Dec.2) :204-205.

New Support Vector Machines Study Results from State University of New York (SUN Y) Buffalo Described (A Space-Efficient One-Pass Online SVM Algorithm)

纽约州立大学(SUN Y)Buffalo描述了新的支持向量机研究结果(一种空间高效的单遍在线SVM算法)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :204-205.

New Support Vector Machines Study Results from State University of New York (SUN Y) Buffalo Described (A Space-Efficient One-Pass Online SVM Algorithm)

纽约州立大学(SUN Y)Buffalo描述了新的支持向量机研究结果(一种空间高效的单遍在线SVM算法)

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑关于支持向量机的最新研究成果已经发表.根据新闻报道Ne wsRx编辑在纽约布法罗发表的一篇研究报告中指出:“在本文中,我们考虑的是使用随机顺序的数据流在线训练支持向量机(SVM)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on support vector machines have been published. According to news reportingout of Buffalo, New York, by Ne wsRx editors, research stated, “In this paper we consider the problem oftrainin g a Support Vector Machine (SVM) online using a stream of data in random order.”

Key words

State University of New York (SUNY) Buff alo/Buffalo/New York/United States/North and Central America/Algorithms/Ma chine Learning/Support Vector Machines

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文