Proposal to Fund 1994 IEEE Information Theory Workshop on Information Theory and Statistics

资助 1994 年 IEEE 信息论与统计信息论研讨会的提案

• 批准号: 9414193
• 负责人: Geoffrey Orsak
• 金额: --
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-07-15 至 1995-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9414193&HistoricalAwards=false
• 关键词: Proposal; Fund; 1994; IEEE; Information

The 1994 IEEE/IMS Information Theory Workshop on "Information Theory and Statistics" will present papers in the related fields of (1) Stochastic complexity and universal data compression, (2) randomization complexity and information theory, (3) Markov random fields, (4) Vector quantization, classification, and regression trees, (5) theory and applications of wavelets, and (6) nonparametric function estimation. In addition to these specific topics, there will be two open poster sessions supporting research in all fields related to the theme of the workshop. The workshop will be held in the Old Town Holiday Inn, Alexandria, Virginia over the dates of October 27 through October 29, 1994. The IEEE Information Theory Workshops play an important role in exploring and supporting critical research trends in the broad areas of communication system utilization and digital data storage. This area of research is commonly referred to as the field of Information Theory and over the last forty years has played a central role in the development of the nation's communications infrastructure. Recently, there has been a significant rise in common research conducted by Information Theorists and Statisticians. It is the aim of the 1994 IEEE/IMS Information Theory Workshop on "Information Theory and Statistics" to enhance this work and improve the cross-fertilization of ideas between the respective research communities. To support this collaboration, this workshop is being co-sponsored by the IEEE Information Theory Society and the Institute of Mathematical Statistics.

1994年IEEE/IMS信息论研讨会“信息论与统计”将在以下相关领域发表论文：(1)随机复杂性与通用数据压缩，(2)随机化复杂性与信息论，(3)马尔可夫随机场，(4)矢量量化、分类和回归树，(5)小波理论与应用，(6)非参数函数估计。除了这些具体的主题外，还将有两个公开的海报会议，支持与研讨会主题相关的所有领域的研究。讲习班将于1994年10月27日至10月29日在弗吉尼亚州亚历山大的老城假日旅馆举行。IEEE信息论研讨会在探索和支持通信系统利用和数字数据存储等广泛领域的关键研究趋势方面发挥着重要作用。这一研究领域通常被称为信息论领域，在过去的四十年中，它在国家通信基础设施的发展中发挥了核心作用。最近，由信息理论家和统计学家进行的共同研究有了显著的增加。1994年IEEE/IMS关于“信息论与统计”的信息论研讨会的目的是加强这项工作，并改善各自研究团体之间思想的交流。为了支持这一合作，本次研讨会由IEEE信息理论学会和数理统计研究所共同主办。