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

剑桥大学的艾萨克·牛顿研究所组织了一项为期六个月的研究项目，主题是“复杂、高维数据的统计方法”，该项目从2008年1月开始。这项计划将汇聚一些世界上最顶尖的研究人员，他们研究与流形学习有关的关键问题，“大p，小n”，模型容量，PAC界限，过完备基，核方法，以及相关主题。这位研究人员将利用NSF的资金，确保在这一领域工作的十名最好的美国研究生有机会前往剑桥，并参加支撑研究计划的三个研讨会之一。艾萨克·牛顿研究所是欧洲主要的数学研究中心。2008年，它组织了一项方案，解决本十年来统计面临的主要挑战问题：如何分析高度多变量和复杂的数据集。在这个问题上的进展将显著提高对微阵列实验中的遗传数据、分布式传感器系统的大气数据分析、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理解。这一奖项中的NSF资金将用于支持在这些问题领域工作的10名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中的一个。

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.