Applications of variational analysis in optimization and data science

变分分析在优化和数据科学中的应用

• 批准号: RGPIN-2017-04035
• 负责人: Hoheisel, Tim
• 金额: $ 1.38万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635678
• 关键词: Applications; variational; analysis; optimization; data

An abundance of statistical methods and learning algorithms reduce to an optimization problem. With the advent of computers and the information age these problems have exploded both in size and complexity. One of the most important questions nowadays is how to extract trends and substructures in extremely large data sets. In this area of data science, which comprises

大量的统计方法和学习算法归结为一个优化问题。随着计算机和信息时代的到来，这些问题的规模和复杂性都急剧增加。如何从海量数据中提取趋势和子结构是当前研究的热点问题之一。在数据科学领域，包括