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Learning in Graphical Models
Michael I. . Ed(S): Jordan
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Description for Learning in Graphical Models
Paperback. Proceedings of the NATO Advanced Study Institute, Ettore Maiorana Centre, Erice, Italy, September 27-October 7, 1996 Editor(s): Jordan, Michael I. Series: NATO Science Series D:. Num Pages: 641 pages, biography. BIC Classification: PBT; PHS; UYQ. Category: (P) Professional & Vocational. Dimension: 237 x 158 x 40. Weight in Grams: 960.
In the past decade, a number of different research communities within the computational sciences have studied learning in networks, starting from a number of different points of view. There has been substantial progress in these different communities and surprising convergence has developed between the formalisms. The awareness of this convergence and the growing interest of researchers in understanding the essential unity of the subject underlies the current volume.
Two research communities which have used graphical or network formalisms to particular advantage are the belief network community and the ... Read more
In the past decade, a number of different research communities within the computational sciences have studied learning in networks, starting from a number of different points of view. There has been substantial progress in these different communities and surprising convergence has developed between the formalisms. The awareness of this convergence and the growing interest of researchers in understanding the essential unity of the subject underlies the current volume.
Two research communities which have used graphical or network formalisms to particular advantage are the belief network community and the ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer Netherlands
Number of pages
641
Condition
New
Series
NATO Science Series D:
Number of Pages
630
Place of Publication
Dordrecht, Netherlands
ISBN
9789401061049
SKU
V9789401061049
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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