郑州大学学报（理学版）2016，Vol.48Issue(1)：81-84,4.DOI:10.3969/j.issn.1671-6841.201507006
一种基于决策树的多示例学习算法
A Multi-instance Learning Algorithm Based on Decision Tree
摘要
Abstract
A new multi-instance learning algorithm C4. 5-MI based on decision tree C4. 5 was proposed, and the entropy function and information gain ratio to multiple instance framework were extended. Excel-lent algorithm GDBT-MI was obtained by improving C4. 5-MI through adopting gradient boosting. The re-sults on several benchmark datasets demonstrated the effectiveness of C4 . 5-MI and GDBT-MI over other similar algorithms.关键词
多示例学习/决策树/梯度提升/C4.5算法Key words
multi-instance learning/decision tree/gradient boosting/C4 . 5 algorithm分类
计算机与自动化引用本文复制引用
王杰,蔡良健,高瑜..一种基于决策树的多示例学习算法[J].郑州大学学报（理学版）,2016,48(1):81-84,4.基金项目
教育部高等学校博士学科点科研项目(20124101120001) （20124101120001）
河南省教育厅科学技术研究重点项目(14A41300) （14A41300）
中国博士后科学基金面上项目(2014T70685,2013M541992) （2014T70685,2013M541992）
