Research Semi-Supervised Learning via Kernel Function Method

被引：0
|
作者：
Liu, Jianfeng [1 ]
Lv, Jia [2 ]
机构：
[1] Chongqing Three Gorges Univ, Chongqing 404100, Peoples R China
[2] Chongqing Normal Univ, Coll Comp & Informat Sci, Chongqing 401331, Peoples R China
来源：
PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2016) | 2016年 / 133卷
关键词：
semi-supervised learning; kernel function; construct graph; graph-based;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recently, researchers focus on Graph-based semi-supervised learning, how to construct a graph and introduce kernel function into semi-supervised learning affect the effect of the algorithm, and mostly. This paper proposed a improved graph-based method and introduce kernel function into semi-supervised learning, the experimental verification algorithm has achieved some results.
引用
收藏
页码：300 / 302
页数：3
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