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Probabilistic Conditional Independence Structures
Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures; the author uses non-graphical methods of their description, and...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2005.
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| Edición: | 1st ed. 2005. |
| Colección: | Information Science and Statistics,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
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| 001 | 978-1-84628-083-2 | ||
| 003 | DE-He213 | ||
| 005 | 20220116011628.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2005 xxk| s |||| 0|eng d | ||
| 020 | |a 9781846280832 |9 978-1-84628-083-2 | ||
| 024 | 7 | |a 10.1007/b138557 |2 doi | |
| 050 | 4 | |a Q334-342 | |
| 050 | 4 | |a TA347.A78 | |
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| 100 | 1 | |a Studeny, Milan. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Probabilistic Conditional Independence Structures |h [electronic resource] / |c by Milan Studeny. |
| 250 | |a 1st ed. 2005. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2005. | |
| 300 | |a XIV, 285 p. 42 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Information Science and Statistics, |x 2197-4128 | |
| 505 | 0 | |a Basic Concepts -- Graphical Methods -- Structural Imsets: Fundamentals -- Description of Probabilistic Models -- Equivalence and Implication -- The Problem of Representative Choice -- Learning -- Open Problems. | |
| 520 | |a Conditional independence is a topic that lies between statistics and artificial intelligence. 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. Probabilistic Conditional Independence Structures will be a valuable new addition to the literature, and will interest applied mathematicians, statisticians, informaticians, computer scientists and probabilists with an interest in artificial intelligence. The book may also interest pure mathematicians as open problems are included. Milan Studený is a senior research worker at the Academy of Sciences of the Czech Republic. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Statistics . | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781849969482 |
| 776 | 0 | 8 | |i Printed edition: |z 9781848008014 |
| 776 | 0 | 8 | |i Printed edition: |z 9781852338916 |
| 830 | 0 | |a Information Science and Statistics, |x 2197-4128 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/b138557 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||