Developing applied Bayesian methods

开发应用贝叶斯方法

• 批准号: 155516-2006
• 负责人: Escobar, Michael
• 金额: $ 1.09万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=365553
• 关键词: Developing; applied; Bayesian; methods

The purpose of this research is develop flexible model structures in the development of machine learning methods.  This effort will include the following: 1) the development of new, faster algorithm, 2) the development of new flexible learning models, and 3) educational tools which will allow a wider range of scientists to incorporate these methods in their research.

本研究的目的是在机器学习方法的开发中开发灵活的模型结构。这项工作将包括以下内容：1）开发新的，更快的算法，2）开发新的灵活的学习模型，3）教育工具，这将允许更广泛的科学家将这些方法纳入他们的研究中。