Network on Computational Statistics and Machine Learning

计算统计和机器学习网络

• 批准号: EP/K009788/1
• 负责人: Mark Girolami
• 金额: $ 13.32万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK009788%2F1
• 关键词: Network; Computational; Statistics; Machine; Learning

The aim of this network is to establish the UK as the world leading authority in the joint area of Computational Statistics and Machine Learning (CompStat & ML) by advancing communication, interchange and collaboration within the UK between the disciplines of Computational Statistics (CompStat) and Machine Learning (ML).The UK has tremendous research strength and depth that is widely acknowledged as world leading in both the individual areas of Computational Statistics and Machine Learning. Despite each of these fields of research developing, largely, independently and having their own separate journals, international societies, conferences and curricula both areas of investigation share a common theoretical foundation based on the underlying formal principles of mathematical statistics and statistical inference. As such there is a natural diffusion of concepts, research and individuals between both disciplines. This network will seek to formalise as well as enhance this interchange and in the process capitalise on important synergies that will emerge from the combined and shared research agendas of CompStat & ML.

该网络的目标是将英国确立为计算统计和机器学习联合领域的世界领先权威（CompStat & ML）通过推进沟通，英国境内计算统计学科之间的交流与合作（CompStat）和机器学习（ML）英国拥有巨大的研究实力和深度，在计算统计和机器学习的各个领域都被公认为世界领先。尽管每个研究领域的发展，很大程度上，独立和有自己的独立的期刊，国际社会，会议和课程的调查两个领域共享一个共同的理论基础的基础上，基本的正式原则的数理统计和统计推断。因此，这两个学科之间的概念，研究和个人的自然扩散。该网络将寻求正式化并加强这种交流，并在此过程中利用CompStat和ML的联合和共享研究议程所产生的重要协同作用。