Full Product Details
Author: Milan Studeny
Publisher: Springer London Ltd
Imprint: Springer London Ltd
Edition: Softcover reprint of hardcover 1st ed. 2005
Dimensions:
Width: 15.50cm
, Height: 1.50cm
, Length: 23.50cm
Weight: 0.462kg
ISBN: 9781849969482
ISBN 10: 1849969485
Pages: 285
Publication Date: 21 October 2010
Audience:
Professional and scholarly
,
Professional and scholarly
,
Professional & Vocational
,
Postgraduate, Research & Scholarly
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
From the reviews: 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. ! The book has been prepared so that it will be understood by statisticians but also by researchers, particularly ! by those involved in Artificial intelligence. The Appendix, listed with the contents contains ! all the necessary elementary mathematical notions that may be required or recalled. (Kybernetes, Vol. 34 (7-8), 2005) This monograph is a self-contained, unified mathematical treatment of basic results in the mathematical description of probabilistic conditional independence structures. ! This monograph provides graduate students with a sound basis for further study and for research and is a valuable reference source for both statisticians and researchers in artificial intelligence. (J. Martyna, Zentralblatt MATH, Vol. 1070, 2005)
From the reviews: ""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. ! The book has been prepared so that it will be understood by statisticians but also by researchers, particularly ! by those involved in Artificial intelligence. The Appendix, listed with the contents contains ! all the necessary elementary mathematical notions that may be required or recalled."" (Kybernetes, Vol. 34 (7-8), 2005) ""This monograph is a self-contained, unified mathematical treatment of basic results in the mathematical description of probabilistic conditional independence structures. ! This monograph provides graduate students with a sound basis for further study and for research and is a valuable reference source for both statisticians and researchers in artificial intelligence."" (J. Martyna, Zentralblatt MATH, Vol. 1070, 2005)
