Knowledge Commons of Institute of Automation,CAS
A pdf-Free Change Detection Test Based on Density Difference Estimation | |
Bu, Li1; Alippi, Cesare2,3; Zhao, Dongbin1 | |
发表期刊 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS |
2018-02-01 | |
卷号 | 29期号:2页码:324-334 |
文章类型 | Article |
摘要 | The ability to detect online changes in stationarity or time variance in a data stream is a hot research topic with striking implications. In this paper, we propose a novel probability density function-free change detection test, which is based on the least squares density-difference estimation method and operates online on multidimensional inputs. The test does not require any assumption about the underlying data distribution, and is able to operate immediately after having been configured by adopting a reservoir sampling mechanism. Thresholds requested to detect a change are automatically derived once a false positive rate is set by the application designer. Comprehensive experiments validate the effectiveness in detection of the proposed method both in terms of detection promptness and accuracy. |
关键词 | Concept Drift Least Squares Density-difference (Lsdd)-based Method Probability Density Function (Pdf)-free Three-level Threshold Mechanism |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TNNLS.2016.2619909 |
关键词[WOS] | STATISTICAL PROCESS-CONTROL ; TIME ADAPTIVE CLASSIFIERS ; RATIO ESTIMATION ; 2-SAMPLE TEST ; CONCEPT DRIFT ; DATA STREAMS ; COMBINATION ; SYSTEM ; SERIES ; CHARTS |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61273136 ; 61573353 ; 61533017 ; 61603382) |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000422952400007 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14325 |
专题 | 多模态人工智能系统全国重点实验室_深度强化学习 |
通讯作者 | Zhao, Dongbin |
作者单位 | 1.Univ Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Chinese Acad Sci, Beijing 100190, Peoples R China 2.Politecn Milan, I-20133 Milan, Italy 3.Univ Svizzera italiana, CH-6904 Lugano, Switzerland |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Bu, Li,Alippi, Cesare,Zhao, Dongbin. A pdf-Free Change Detection Test Based on Density Difference Estimation[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(2):324-334. |
APA | Bu, Li,Alippi, Cesare,&Zhao, Dongbin.(2018).A pdf-Free Change Detection Test Based on Density Difference Estimation.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(2),324-334. |
MLA | Bu, Li,et al."A pdf-Free Change Detection Test Based on Density Difference Estimation".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.2(2018):324-334. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
TNNLS.pdf(2468KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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