中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A pdf-Free Change Detection Test Based on Density Difference Estimation

文献类型:期刊论文

作者Bu, Li1; Alippi, Cesare2,3; Zhao, Dongbin1
刊名IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
出版日期2018-02-01
卷号29期号:2页码:324-334
关键词Concept Drift Least Squares Density-difference (Lsdd)-based Method Probability Density Function (Pdf)-free Three-level Threshold Mechanism
DOI10.1109/TNNLS.2016.2619909
文献子类Article
英文摘要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.
WOS关键词STATISTICAL PROCESS-CONTROL ; TIME ADAPTIVE CLASSIFIERS ; RATIO ESTIMATION ; 2-SAMPLE TEST ; CONCEPT DRIFT ; DATA STREAMS ; COMBINATION ; SYSTEM ; SERIES ; CHARTS
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000422952400007
资助机构National Natural Science Foundation of China(61273136 ; 61573353 ; 61533017 ; 61603382)
源URL[http://ir.ia.ac.cn/handle/173211/14325]  
专题复杂系统管理与控制国家重点实验室_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
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.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。