Semiparametric Regression for Streaming Data

流数据的半参数回归

• 批准号: DP140100441
• 负责人: Prof Matt Wand
• 金额: $ 25.9万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-02-20 至 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140100441
• 关键词: Semiparametric; Regression; Streaming; Data

Semiparametric regression converts large and complex data-sets into interpretable summaries from which sound decisions can be made. This project tackles semiparametric regression analysis of streaming data - where the data are so voluminous that they may not be storable in standard computer memory and therefore need to be processed rapidly on arrival and then discarded. Effective solutions necessitate a rethinking of semi-parametric regression and new approaches will be developed. The project will also develop novel theory and methodology for robotics applications. It will allow analysis of streaming and massive data sets that would not be possible using currently available methods, opening up new applications.

半参数回归将大型复杂的数据集转换为可解释的摘要，从中可以做出合理的决策。该项目处理流数据的半参数回归分析-其中数据是如此庞大，以至于它们可能无法存储在标准计算机内存中，因此需要在到达时快速处理，然后丢弃。有效的解决方案需要重新思考半参数回归，并将开发新的方法。该项目还将为机器人应用开发新的理论和方法。它将允许分析流和大量数据集，这是使用当前可用的方法无法实现的，从而开辟了新的应用程序。