| 基于三支决策的主动学习方法 |
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| 引用本文： | 胡峰,张苗,于洪.基于三支决策的主动学习方法[J].控制与决策,2019,34(4):718-726. |
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| 作者姓名： | 胡峰 张苗 于洪 |
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| 作者单位： | 重庆邮电大学 计算机科学与技术学院,重庆,400065;重庆邮电大学 计算智能重庆市重点实验室,重庆,400065 |
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| 基金项目： | 国家自然科学基金项目(61533020, 61472056, 61309014, 61751312)；教育部人文社科规划基金项目(15XJA630003)；重点产业共性关键技术创新专项(cstc2017zdcy-zdyfX0001, cstc2017zdcy-zdzx0046)；重庆市基础与前沿项目(cstc2017jcyjAX0408). |
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| 摘 要： | 主动学习是机器学习领域研究的热点之一,旨在解决样本无标签问题.将三支决策的思想应用到主动学习中,通过引入决策函数,并基于无标签样本的不确定性,将无标签样本划分为3个不同的域:正域、负域、边界域.针对不同区域的样本进行相应处理,提出一种基于三支决策理论的主动学习方法(TWD{_
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| 关 键 词： | 主动学习 机器学习 三支决策 决策函数 无标签样本 不确定性 |
An active learning method based on three-way decision model |
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| HU Feng,ZHANG Miao and YU Hong.An active learning method based on three-way decision model[J].Control and Decision,2019,34(4):718-726. |
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| Authors: | HU Feng ZHANG Miao and YU Hong |
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| Affiliation: | School of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China,School of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China and School of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China |
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| Abstract: | Active learning is one of the focuses in the field of machine learning, aiming to solve the unlabeled problem of samples. In this paper, a three-way decision model is applied to active learning. By introducing decision functions, the unlabeled samples are divided into three different parts: positive region, boundary region and negative region based on the uncertainty of unlabeled samples. Different solutions are adopted to process samples for each region. Then, an active learning method based on the three-way decision model, namely TWD{_ |
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