Request for Student Travel Support to the Isaac Newton Institute Workshops on Statistical Methods for Complex, High-Dimensional Data

请求学生前往艾萨克牛顿研究所复杂、高维数据统计方法研讨会的旅行支持

• 批准号: 0751511
• 负责人: David Banks
• 金额: $ 1.5万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0751511&HistoricalAwards=false
• 关键词: Request; Student; Travel; Support; Isaac

The Isaac Newton Institute at the University of Cambridge has organized a six-month research program on "Statistical Methods for Complex, High-Dimensional Data" that starts in January, 2008. This program will bring together some of the world's foremost researchers on critical problems related to manifold learning, "large p, small n", model capacity, PAC bounds, overcomplete bases, kernel methods, and related topics. The investigator will use the NSF funds to ensure that ten of the best U.S. graduate students working in this area have the opportunity to travel to Cambridge and to participate in one of the three workshops that anchor the research program.The Isaac Newton Institute is the major center for mathematical research in Europe. For 2008, it has organized a program that addresses the major challenge problem confronting statistics in this decade: how to analyze highly multivariate and complex data sets. Progress on this problem would significantly improve the understanding of genetic data from microarray experiments, the analysis of atmospheric data from distributed sensor systems, complex financial models, proteomics, text mining, medical imaging, and many other scientific domains. The NSF funds in this award will be used to support travel by 10 of the top U.S. graduate students working in these problem areas to attend one of the the three workshops that have been organized as part of the research program.

剑桥大学的艾萨克·牛顿研究所组织了一个为期六个月的研究项目，题为“复杂高维数据的统计方法”，该项目将于2008年1月开始。 该计划将汇集一些世界上最重要的研究人员，研究与流形学习，“大p，小n”，模型容量，PAC边界，过完备基，内核方法和相关主题相关的关键问题。 研究人员将利用NSF的资金，以确保在这一领域工作的10名最优秀的美国研究生有机会前往剑桥，并参加锚研究计划的三个研讨会之一。艾萨克·牛顿研究所是欧洲数学研究的主要中心。 2008年，它组织了一个方案，解决这十年来统计面临的主要挑战问题：如何分析高度多元和复杂的数据集。 在这个问题上的进展将显着提高从微阵列实验的遗传数据的理解，从分布式传感器系统，复杂的金融模型，蛋白质组学，文本挖掘，医学成像和许多其他科学领域的大气数据的分析。 该奖项中的NSF资金将用于支持10名在这些问题领域工作的美国顶尖研究生参加作为研究计划一部分组织的三个研讨会之一。