Kniha Probabilistic Conditional Independence Structures Milan Studeny

Probabilistic Conditional Independence Structures

Autor: Milan Studeny
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Springer London Ltd
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
99.78
Conditional independence is a topic that lies between statistics and artificial intelligence. Probab...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2010
Stránok
285
EAN
9781849969482
ISBN
1849969485
Enbook ID
01434830
Vydavateľ
Hmotnosť
418
Rozmery
156 x 232 x 17

Kompletný popis

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.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.

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