Probabilistic Conditional Independence Structures
Seiten
2005
|
2005 ed.
Springer London Ltd (Verlag)
9781852338916 (ISBN)
Springer London Ltd (Verlag)
9781852338916 (ISBN)
Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures;
The monograph presents the methods of structural imsets and supermodular functions, and deals with independence implication and equivalence of structural imsets.
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.
The monograph presents the methods of structural imsets and supermodular functions, and deals with independence implication and equivalence of structural imsets.
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.
Basic Concepts.- Graphical Methods.- Structural Imsets: Fundamentals.- Description of Probabilistic Models.- Equivalence and Implication.- The Problem of Representative Choice.- Learning.- Open Problems.
| Erscheint lt. Verlag | 7.1.2005 |
|---|---|
| Reihe/Serie | Information Science and Statistics |
| Zusatzinfo | 42 Illustrations, black and white; XIV, 285 p. 42 illus. |
| Verlagsort | England |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik | |
| ISBN-13 | 9781852338916 / 9781852338916 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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