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

剑桥大学艾萨克·牛顿研究所组织了一项为期六个月的“复杂高维数据统计方法”研究计划，该计划于 2008 年 1 月开始。该计划将汇集世界上一些最顶尖的研究人员，研究与流形学习、“大 p、小 n”、模型容量、PAC 界限、超完备基、核方法和相关主题相关的关键问题。 研究人员将利用国家科学基金会的资金，确保在该领域工作的十名最优秀的美国研究生有机会前往剑桥并参加支持该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，它组织了一个计划来解决这十年来统计学面临的主要挑战问题：如何分析高度多元和复杂的数据集。 这个问题的进展将显着提高对微阵列实验遗传数据、分布式传感器系统大气数据分析、复杂金融模型、蛋白质组学、文本挖掘、医学成像和许多其他科学领域的理解。 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顶尖美国研究生参加作为该研究项目的一部分组织的三个研讨会之一。

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.