Research Semi-Supervised Learning via Kernel Function Method

DOI

10.2991/aiie-16.2016.69How to use a DOI?

Keywords

semi-supervised learning; kernel function; construct graph; graph-based

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Jianfeng Liu
AU  - Jia Lv
PY  - 2016/11
DA  - 2016/11
TI  - Research Semi-Supervised Learning via Kernel Function Method
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 300
EP  - 302
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.69
DO  - 10.2991/aiie-16.2016.69
ID  - Liu2016/11
ER  -