| 书目名称 | Probabilistic Conditional Independence Structures |
| 编辑 | Milan Studený,Michael Jordan,Jon Kleinberg,Ian Wit |
| 视频video | |
| 概述 | Written by the world’s leading expert on conditional independence structures.It is the first book to use non-graphical methods in this subject.Self-contained: a comprehensive survey of the necessary m |
| 丛书名称 | Information Science and Statistics |
| 图书封面 |  |
| 描述 | ..Probabilistic Conditional Independence Structures. provides the mathematical description of probabilistic conditional independence structures; the author uses non-graphical methods of their description, and takes an algebraic approach. .The monograph presents the methods of structural imsets and supermodular functions, and deals with independence implication and equivalence of structural imsets. Motivation, mathematical foundations and areas of application are included, and a rough overview of graphical methods is also given. In particular, the author has been careful to use suitable terminology, and presents the work so that it will be understood by both statisticians, and by researchers in artificial intelligence. The necessary elementary mathematical notions are recalled in an appendix.. |
| 出版日期 | Book 2005 |
| 关键词 | Mathematica; algebra; artificial intelligence; computer; function; intelligence; learning; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b138557 |
| isbn_softcover | 978-1-84996-948-2 |
| isbn_ebook | 978-1-84628-083-2Series ISSN 1613-9011 Series E-ISSN 2197-4128 |
| issn_series | 1613-9011 |
| copyright | Springer-Verlag London 2005 |
发表于 2025-3-21 16:32:37
