Probabilistic Conditional Independence Structures
Probabilistic Conditional Independence Structures
复制标题
DOI：
10.1108/k.2005.06734gae.001
复制
发表时间：
2005-08
期刊：
影响因子：
2.5
通讯作者：
C. Mann
中科院分区：
文献类型：
--
作者：
C. Mann
这本专著旨在给出结构输入集和超模函数的方法，并考虑结构输入集的独立性、蕴涵和等价性。斯图德尼博士还研究了动机、数学基础和应用领域。然而，也提供了图解方法的粗略指南。这本书的编写是为了让统计学家和研究人员都能理解，特别是那些参与人工智能的人。作者说，与内容一起列出的附录包含了可能需要或回忆起来的所有必要的基本数学概念。
This monograph aims to present methods of structural imsets and supermodel functions and considers the independence implication and equivalence of structural imsets. Dr Studeny also looks at motivation, mathematical foundations and areas of application. A rough guide to graphical methods, however, is also presented. The book has been prepared so that it will be understood by statisticians but also by researchers, particularly, it is suggested, by those involved in Artificial Intelligence. The Appendix, listed with the contents contains, the author says, all the necessary elementary mathematical notions that may be required or recalled.