Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines

Published:2015-08 Issue: Volume:60-61 Page:48-56
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Le Thanh-Binh,Kim Sang-Woon

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference33 articles.

1. UCI Machine Learning Repository;Asuncion,2007

2. Does unlabeled data provably help? Worst-case analysis of the sample complexity of semi-supervised learning;Ben-David,2008

3. Semi-supervised support vector machines;Bennett,1998

4. An affinity-based new local distance function and similarity measure for KNN algorithm;Bhattacharya;Pattern Recognit. Lett.,2012

5. Combining labeled and unlabeled data with co-training;Blum,1998

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multi-scheme semi-supervised regression approach;Pattern Recognition Letters;2019-07

2. Multi-view based unlabeled data selection using feature transformation methods for semiboost learning;Neurocomputing;2017-08

3. Self-Trained Stacking Model for Semi-Supervised Learning;International Journal on Artificial Intelligence Tools;2017-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP