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

页码：300 / 302

页数：3

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