Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Probabilistic Graphical Models: Principles And ApplicationsISBN13:9783030619428ISBN10:3030619427Author:Sucar, Luis Enrique (Author)Description:This Accessible Textreference Provides A General Introduction To Probabilistic Graphical Models (Pgms) From An Engineering Perspective The Book Covers The Fundamentals For Each Of The Main Classes Of Pgms, Including Representation, Inference And Learning Principles, And Reviews Real-World Applications For Each Type Of Model These Applications Are Drawn From A Broad Range Of Disciplines, Highlighting The Many Uses Of Bayesian Classifiers, Hidden Markov Models, Bayesian Networks, Dynamic And Temporal Bayesian Networks, Markov Random Fields, Influence Diagrams, And Markov Decision Processes Topics And Features: Presents A Unified Framework Encompassing All Of The Main Classes Of Pgms; Explores The Fundamental Aspects Of Representation, Inference And Learning For Each Technique; Describes The Practical Application Of The Different Techniques; Examines The Latest Developments In The Field, Covering Multidimensional Bayesian Classifiers, Relational Graphical Models And Causal Models; Provides Exercises, Suggestions For Further Reading, And Ideas For Research Or Programming Projects At The End Of Each Chapter; Suggests Possible Course Outlines For Instructors In The Preface This Classroom-Tested Work Is Suitable As A Textbook For An Advanced Undergraduate Or A Graduate Course In Probabilistic Graphical Models For Students Of Computer Science, Engineering, And Physics Professionals Wishing To Apply Probabilistic Graphical Models In Their Own Field, Or Interested In The Basis Of These Techniques, Will Also Find The Book To Be An Invaluable Reference Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2020-12-26Weight:1.57 lbsDimensions:Number of Pages:Language:English
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Book Title: Probabilistic Graphical Models: Principles And Applications
Item Length: 9.3in
Item Width: 6.1in
Author: Luis Enrique Sucar
Publication Name: Probabilistic Graphical Models : Principles and Applications
Format: Hardcover
Language: English
Publisher: Springer International Publishing A&G
Series: Advances in Computer Vision and Pattern Recognition Ser.
Publication Year: 2020
Type: Textbook
Item Weight: 26.1 Oz
Number of Pages: Xxviii, 355 Pages
