QQ客服 官方微博 反馈留言

	Low-Density Cut based Tree Decomposition for Large-Scale SVM Problems (CPCI-S收录)
	He, Lifang[1,5]; Shuai, Hong-Han[2]; Kong, Xiangnan[3]; Hao, Zhifeng[1]; Yang, Xiaowei[4]; Yu, Philip S.[5]
会议名称	2014 IEEE International Conference on Data Mining (ICDM)
关键词	Support vector machines large scale decision tree splitting criterion
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/2046416
专题	华南理工大学
作者单位	1.[1]Guangdong Univ Technol, Fac Comp, Guangzhou, Guangdong, Peoples R China 2.[2]Natl Taiwan Univ, Grad Inst Commun Engn, Taipei, Taiwan 3.[3]Worcester Polytech Inst, Dept Comp Sci, Worcester, MA USA 4.[4]South China Univ Technol, Sch Sci, Guangzhou 510641, Guangdong, Peoples R China 5.[5]Univ Illinois, Dept Comp Sci, Chicago, IL USA
推荐引用方式 GB/T 7714	He, Lifang[1,5],Shuai, Hong-Han[2],Kong, Xiangnan[3],等. Low-Density Cut based Tree Decomposition for Large-Scale SVM Problems (CPCI-S收录)[C]. 见:2014 IEEE International Conference on Data Mining (ICDM).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。