Technology-Driven and Scalable Regression Methodology, Computing and Theory

技术驱动且可扩展的回归方法、计算和理论

• 批准号: DP230101179
• 负责人: Prof Matt Wand
• 金额: $ 25.15万
• 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: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230101179
• 关键词: Technology; Driven; Scalable; Regression; Methodology

Regression is a mainstay of data analysis, statistics, machine learning and data science but is in continual need of enhancement in the face of technological change. Scalability and flexibility for the handling of non-linear signals are fundamental to the practical utility of new regression methodology. Several streams of research aimed at confronting data from specific technologies as well as generic types of data are proposed. The project is to be networked with researchers in the United States of America and aims to have Australia-based researchers providing leadership in terms of methodological, theoretical, computational and software development.

回归是数据分析、统计学、机器学习和数据科学的支柱，但面对技术变革，它需要不断增强。处理非线性信号的可扩展性和灵活性是新回归方法实际应用的基础。提出了几种旨在面对来自特定技术的数据以及一般类型数据的研究流。该项目将与美国的研究人员联网，目的是让澳大利亚的研究人员在方法、理论、计算和软件开发方面发挥领导作用。