A pdf-Free Change Detection Test Based on Density Difference Estimation

doi:10.1109/TNNLS.2016.2619909

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 深度强化学习

	A pdf-Free Change Detection Test Based on Density Difference Estimation
	Bu, Li1 ; Alippi, Cesare 2,3; 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	被引频次：34[WOS] [WOS记录] [WOS相关记录]
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.

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