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5. Intelligent Sampling for Identifying Thresholds in Observed Databases and Time Series

Intelligent Sampling for Identifying Thresholds in Observed Databases and Time Series

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：RHLOK007

【摘 要】

：

In threshold and location estimation one often tries to minimize over a set of location and auxiliary parameters,with the former adding computational time to what can be otherwise simple optimization

【作 者】

：

Zhiyuan Lu Moulinath Banerjee George Michailidis 

【机 构】

：

University of Michigan,48109,United States Univer

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

change point adaptive sampling 

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　　In threshold and location estimation one often tries to minimize over a set of location and auxiliary parameters,with the former adding computational time to what can be otherwise simple optimization schemes.

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