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新闻–研究人员在支持向量Mac Hines中详细介绍了新数据。根据新闻报道中华人民共和国银川，由NewsRx记者报道，研究称，"通过最小化P订单"改进广义特征值proxi-support目标函数的l2范数距离本文提出了向量机(IGEPSVM)，即L-2,L-p-LIGEPSVM。首先，解决了证明了L-2,L-p-LIGEPSVM与相关矩阵的最小特征值有关，并设计了一种改进的逆幂法求解L-2,L-p-LIGEPSVM。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Support Vector Mac hines. According to news reporting originating inYinchuan, People’s Republic of China, by NewsRx journalists, research stated, “By minimizing the p-orderof L- 2-norm distance of the objection function of the improved generalized eigenvalue proxi- mal supportvector machine (IGEPSVM), the L-2,L-p-LIGEPSVM is proposed i n this paper. Firstly, the solution of theL-2,L-p-LIGEPSVM is demonstrated to b e related to the minimum eigenvalue of the correlation matrix,and an improved i nverse power method is devised to solve the L-2,L-p-LIGEPSVM.”
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